%COMMENT Official BibTeX-Type: Inbook @INCOLLECTION {RashidAhmad2013, author = {Rashid Ahmad, Omer and Al-Hamadi, Ayoub}, title = {A New Approach for Hand Augmentation Based on Patch Modelling}, booktitle = {Advanced Concepts for Intelligent Vision Systems: 15th International Conference, ACIVS 2013}, year = {2013}, pages = {162--171}, publisher = {Springer International Publishing}, isbn = {978-3-319-02895-8}, doi = {10.1007/978-3-319-02895-8_15} } @INPROCEEDINGS {Tornow2013b, author = {Tornow, Michael and Al-Hamadi, Ayoub and Borrmann, Vinzenz}, title = {A multi-agent mobile robot system with environment perception and HMI capabilities}, booktitle = {IEEE International Conference on Signal and Image Processing Applications (ICSIPA)}, year = {2013}, month = {October}, pages = {252--257}, doi = {10.1109/ICSIPA.2013.6708013} } @INPROCEEDINGS {Tornow2013, author = {Tornow, Michael and Al-Hamadi, Ayoub and Borrmann, Vinzenz}, title = {Gestic-Based Human Machine Interface for Robot Control}, booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, year = {2013}, month = {October}, pages = {2706--2711}, issn = {1062-922X}, doi = {10.1109/SMC.2013.461} } @INPROCEEDINGS {Handrich2013b, author = {Handrich, Sebastian and Al-Hamadi, Ayoub}, title = {A Robust Method for Human Pose Estimation Based On Geodesic Distance Features}, booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, year = {2013}, month = {October}, pages = {906--911}, issn = {1062-922X}, doi={10.1109/SMC.2013.159} } %COMMENT Official BibTeX-Type: Inbook @INCOLLECTION {Handrich2013, author = {Handrich, Sebastian and Al-Hamadi, Ayoub}, title = {Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color}, booktitle = {Advanced Concepts for Intelligent Vision Systems: 15th International Conference, ACIVS 2013}, publisher = {Springer International Publishing}, year = {2013}, pages = {150--161}, series = {Lecture Notes in Computer Science}, volume = {8192}, isbn = {978-3-319-02895-8}, doi = {10.1007/978-3-319-02895-8_14} } @ARTICLE {Samy2013, author = {Sadek, Samy and Al-Hamadi, Ayoub and Michaelis, Bernd}, title = {Toward Real-world Activity Recognition: An SVM Based System Using Fuzzy Directional Features}, journal = {WSEAS Transactions on Information Science and Applications}, year = {2013}, volume = {10}, number = {4}, pages = {116pp.}, keywords = {Human activity recognition, fuzzy directional features, one-vs.-all SVM, video interpretation}, issn = {2224-3402} } @ARTICLE {Samy2013b, author = {Sadek, Samy and Al-Hamadi, Ayoub and Krell, Gerald and Michaelis, Bernd}, title = {Affine-Invariant Feature Extraction for Activity Recognition}, journal = {ISRN Machine Vision}, year = {2013}, doi = {10.1155/2013/215195} } @INCOLLECTION {traue2013framework, author = {Traue, Harald C. and Ohl, Frank and Brechmann, Andr{\'e} and Schwenker, Friedhelm and Kessler, Henrik and Limbrecht, Kerstin and Hoffman, Holger and Scherer, Stefan and Kotzyba, Michael and Scheck, Andreas and Walter, Steffen}, editor = {Rojc, Matej and Campbell, Nick}, title = {A Framework for Emotions and Dispositions in Man-Companion Interaction}, booktitle = {Coverbal Synchrony in Human-Machine Interaction}, publisher = {CRC Press}, year = {2013}, month = {September}, pages = {98--140}, keywords = {Virtual Humans}, isbn = {1-4665-9825-5}, url = {http://ict.usc.edu/pubs/A%20Framework%20for%20Emotions%20and%20Dispositions%20in%20Man-Companion%20Interaction.pdf} } @ARTICLE {gossen2013specifics, author = {Gossen, Tatiana and N{\"u}rnberger, Andreas}, title = {Specifics of information retrieval for young users: A survey}, journal = {Information Processing \& Management}, year = {2013}, volume = {49}, number = {4}, pages = {739--756}, issn = {0306-4573}, doi = {10.1016/j.ipm.2012.12.006}, publisher = {Pergamon Press, Inc.}, address = {Tarrytown, NY, USA}, keywords = {Children, Information retrieval} } @INCOLLECTION {Frommer2013Giving, author = {Frommer, J{\"o}rg and R{\"o}sner, Dietmar and Lange, Julia and Haase, Matthias}, editor = {Campbell, Nick}, title = {Giving Computers Personality? Personality in Computers is in the Eye of the User}, booktitle = {Coverbal Synchrony in Human-Machine Interaction}, publisher = {CRC Press}, address = {Boca Raton, FL}, year = {2013}, pages = {41--71}, OPTchapter = {3}, isbn = {978-1-4665-9825-6}, doi = {10.1201/b15477-4} } %COMMENT Official BibTeX-Type: Inbook @INCOLLECTION {Hrabal2013, author = {Hrabal, David and Kohrs, Christin and Brechmann, Andr{\'e} and Tan, Jun-Wen and Rukavina, Stefanie and Traue, Harald C.}, title = {Physiological Effects of Delayed System Response Time on Skin Conductance}, booktitle = {Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: First IAPR TC3 Workshop, MPRSS 2012}, editor = {Schwenker, Friedhelm and Scherer, Stefan and Morency, Louis-Philippe}, year = {2013}, month = {November}, pages = {52--62}, location = {Tsukuba, Japan}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, isbn = {978-3-642-37081-6}, doi = {10.1007/978-3-642-37081-6_7"} } @ARTICLE {RaudiesEtAl2013a, author = {Raudies, Florian and Ringbauer, Stefan and Neumann, Heiko}, title = {A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self- Motion}, journal = {Neural Computation}, year = {2013}, month = {September}, issue_date = {September 2013}, volume = {25}, number = {9}, pages = {2421--2449}, numpages = {29}, publisher = {MIT Press}, address = {Cambridge, MA, USA}, issn = {0899-7667}, acmid = {2508626}, doi = {10.1162/NECO_a_00479} } @inproceedings{DBLP:conf/ijcai/SteigmillerGL13, author = {Steigmiller, Andreas and Glimm, Birte and Liebig, Thorsten}, title = {Nominal Schema Absorption}, booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence ({IJCAI} 2013)}, year = {2013}, editor = {Francesca Rossi}, publisher = {{IJCAI/AAAI}} } @inproceedings{DBLP:conf/dlog/PonomaryovV13, author = {Ponomaryov, Denis and Vlasov, Dmitry}, title = {Concept Definability and Interpolation in Enriched Models of EL-TBoxes}, booktitle = {Informal Proceedings of the 26th International Workshop on Description Logics}, editor = {Eiter, Thomas and Glimm, Birte and Kazakov, Yevgeny and Kr{\"{o}}tzsch, Markus}, pages = {898--916}, year = {2013}, series = {{CEUR} Workshop Proceedings}, volume = {1014}, publisher = {CEUR-WS.org} } @inproceedings{DBLP:conf/aaai/PonomaryovS13, author = {Ponomaryov, Denis and Soutchanski, Mikhail}, title = {Progression of Decomposed Situation Calculus Theories}, booktitle = {Proceedings of the 27th {AAAI} Conference on ArtificialIntelligence}, editor = {desJardins, Marie and Littman, Michael L.}, year = {2013}, url = {http://www.aaai.org/ocs/index.php/AAAI/AAAI13/paper/view/6333}, publisher = {{AAAI} Press} } @article{RefWorks:509, author ={Schels, Martin and Scherer, Stefan and Glodek, Michael and Kestler, Hans A. and Palm, G{\"u}nther and Schwenker, Friedhelm}, year ={2013}, title ={On the Discovery of Events in EEG Data utilizing Information Fusion}, journal ={Computational Statistics: Special Issue: Proceedings of Statistical Computing 2010}, volume ={28}, number ={1}, pages ={5--18} } @inproceedings{RefWorks:627, author ={Frey, Markus and Schels, Martin and Glodek, Michael and Meudt, Sascha and K{\"a}chele, Markus and Schwenker, Friedhelm}, year ={2013}, title ={Investigation of Fuzzy Support Vector Machines}, booktitle ={Proceedings of the Statistical Computing 2013}, series ={Ulmer Informatik Berichte}, publisher ={Springer}, pages ={17--17} } @article{RefWorks:650, author ={Koprinkova-Hristova, Petia and Oubbati, Mohamed and Palm, G{\"u}nther}, year ={2013}, title ={Heuristic dynamic programming using echo state networks as online trainable adaptive critic}, journal ={J Adapt. Control Signal Process.}, volume ={27}, pages ={902--914} } @inproceedings{RefWorks:626, author ={Meudt, Sascha and Glodek, Michael and Schels, Martin and Schwenker, Friedhelm}, year ={2013}, title ={Multi-View Video Based Tracking and Audio-Visual Identification of Persons in a Human-Computer-Interaction Scenario}, abstract ={User identification and tracking are definitely the basic tasks in any human computer interaction (HCI) scenario. For these tasks we propose a multi-view approach utilizing multi-camera systems and audio processing systems. Face detectors and face recognizers are based on orientation histogram and eigenface techniques, and Mel Frequency Cepstral Coefficients(MFCC) are applied for speaker identification. In order to achieve a robust user identification and localization spatio-temporal classifier fusion methods have been integrated into the overall classifier system, support vector machines (SVM) and k nearest neighbor (kNN) models are used as base classifiers. A general office environment with up to six persons was the test bed for data collection and numerical evaluation}, booktitle ={Proceedings of IEEE International Conference on Cybernetics (CybConf'13)}, publisher ={IEEE}, pages ={116--121}, location ={Lausanne, Switzerland} } @inproceedings{RefWorks:655, author ={Meudt, Sascha and Zharkov, Dimitri and K{\"a}chele, Markus and Schwenker, Friedhelm}, year ={2013}, title ={Multi Classifier Systems and Forward Backward Feature Selection Algorithms to Classify Emotional Coloured Speech}, abstract ={Systems for the recognition of psychological characteristics such as the emotional state in real world scenarios have to deal with several difficulties. Amongst those are unconstrained environments and uncertainties in one or several input channels. However a more crucial aspect is the content of the data itself. Psychological states are highly person-dependent and often even humans are not able to determine the correct state a person is in. A successful recognition system thus has to deal with data, that is not very discriminative and often simply misleading. In order to succeed, a critical view on features and decisions is essential to select only the most valuable ones. This work presents a comparison of a common multi classifier system approach based on state of the art features and a modified forward backward feature selection algorithm with a long term stopping criteria. The second approach takes also features of the voice quality family into account. Both approaches are based on the audio modality only. The dataset used in the challenge is an in between dataset of real world datasets which are still very hard to handle and over acted datasets which were famous in the past and today are well understood}, booktitle ={Proceedings of the International Conference on Multimodal Interaction (ICMI'13)}, series ={ICMI 2013}, publisher ={ACM}, pages ={551--556}, url ={http://doi.acm.org/10.1145/2522848.2531743} } @article{RefWorks:616, author = {Palm, G{\"u}nther}, year = {2013}, title = {Neural associative memories and sparse coding}, abstract = {The theoretical, practical and technical development of neural associative memories during the last 40 years is described. The importance of sparse coding of associative memory patterns is pointed out. The use of associative memory networks for large scale brain modeling is also mentioned}, journal = {Neural Networks}, publisher = {Elsevier}, volume = {37}, pages = {165--171}, url = {http://www.sciencedirect.com/science/article/pii/S0893608012002298} } @article{RefWorks:585, author ={Scherer, Stefan and Kane, John and Gobl, Christer and Schwenker, Friedhelm}, year ={2013}, title ={Investigating fuzzy-input fuzzy-output support vector machines for robust voice quality classification}, abstract ={The dynamic use of voice qualities in spoken language can reveal useful information on a speakers attitude, mood and affective states. This information may be very desirable for a range of, both input and output, speech technology applications. However, voice quality annotation of speech signals may frequently produce far from consistent labeling. Groups of annotators may disagree on the perceived voice quality, but whom should one trust or is the truth somewhere in between? The current study looks first to describe a voice quality feature set that is suitable for differentiating voice qualities on a tense to breathy dimension. Further, the study looks to include these features as inputs to a fuzzy-input fuzzy-output support vector machine (F2SVM) algorithm, which is in turn capable of softly categorizing voice quality recordings. The F2SVM is compared in a thorough analysis to standard crisp approaches and shows promising results, while outperforming for example standard support vector machines with the sole difference being that the F2SVM approach receives fuzzy label information during training. Overall, it is possible to achieve accuracies of around 90% for both speaker dependent (cross validation) and speaker independent (leave one speaker out validation) experiments. Additionally, the approach using F2SVM performs at an accuracy of 82% for a cross corpus experiment (i.e. training and testing on entirely different recording conditions) in a frame-wise analysis and of around 97% after temporally integrating over full sentences. Furthermore, the output of fuzzy measures gave performances close to that of human annotators}, journal ={Journal on Computer Speech and Language}, volume ={27}, number ={1}, pages ={263--287}, url ={http://www.sciencedirect.com/science/article/pii/S0885230812000423} } @article{RefWorks:619, author ={Schwenker, Friedhelm}, year ={2013}, title ={Ensemble Methods: Foundations and Algorithms [Book Review]}, abstract ={This monograph is a valuable contribution to theoretical and practical ensemble learning. The material is very well-presented, preliminaries and basic knowledge are discussed in detail, many illustrations and pseudo-code tables help to understand the facts of this interesting field of research. The book will become a helpful tool for practitioners working in the field of machine learning or pattern recognition as well as for students of engineering or computer sciences at the graduate and postgraduate level}, journal ={IEEE Comp. Int. Mag.}, volume ={8}, number ={1}, pages ={77--79}, url ={http://dx.doi.org/10.1109/MCI.2012.2228600} } @book{RefWorks:620, editor = {Schwenker, Friedhelm and Scherer, Stefan and Monrency, Louis-Philippe}, title = {Proceedings of the 1st International Workshop on Multimodal Pattern Recognition of Social Signals in Human Computer Interaction (MPRSS'12)}, year = {2013}, publisher = {Springer}, series = {LNCS 7742} } @article{RefWorks:651, author ={Thom, Markus and Palm, G{\"u}nther}, year ={2013}, title ={Sparse Activity and Sparse Connectivity in Supervised Learning}, abstract ={Sparseness is a useful regularizer for learning in a wide range of applications, in particular in neural networks. This paper proposes a model targeted at classification tasks, where sparse activity and sparse connectivity are used to enhance classification capabilities. The tool for achieving this is a sparseness-enforcing projection operator which finds the closest vector with a pre-defined sparseness for any given vector. In the theoretical part of this paper, a comprehensive theory for such a projection is developed. In conclusion, it is shown that the projection is differentiable almost everywhere and can thus be implemented as a smooth neuronal transfer function. The entire model can hence be tuned end-to-end using gradient-based methods. Experiments on the MNIST database of handwritten digits show that classification performance can be boosted by sparse activity or sparse connectivity. With a combination of both, performance can be significantly better compared to classical non-sparse approaches}, journal ={J. of Machine Learning Research}, volume ={14}, pages ={1091--1143}, url ={http://dl.acm.org/citation.cfm?id=2502581.2502615} } @incollection{RefWorks:629, author ={Traue, Harald and Ohl, Frank and Brechmann, Andr{\'e} and Schwenker, Friedhelm and Kessler, Henrik and Limbrecht, Kerstin and Hoffman, Holger and Scherer, Stefan and Kozyba, M. and Scheck, Andreas and Walter, Steffen}, editor ={Rojc,Matej and Campbell,Nick}, year ={2013}, title ={Framework for Emotions and Dispositions in Man-Computer Interaction}, booktitle ={Coverbal Synchrony in Human-Machine Interaction}, publisher ={CRC Press}, edition ={1}, series ={Artificial Neural Networks in Pattern Recognition}, pages ={99--140} } @book{RefWorks:630, author ={Zhou, Zhi-Hua and Schwenker, Friedhelm}, year ={2013}, title ={Proceedings of the 2nd IAPR Workshop on Partially Supervised Learning (PSL'13)}, series ={LNAI 8138}, publisher ={Springer} } @article{Angenstein2013, author = {Angenstein, N. and Brechmann, A.}, title = {Division of labor between left and right human auditory cortices during the processing of intensity and duration}, abstract = {Intensity and duration are important parameters for the processing of speech and music. Neuroimaging results on the processing of these parameters in tasks involving the discrimination of stimuli based on these parameters are controversial. Depending on the experimental approach, varying hypotheses on the involvement of the left and right auditory cortices (ACs) have been put forward. The aim of the present functional magnetic resonance imaging (fMRI) study was to find differences and commonalities in location and strength of brain activity during the processing of intensity and duration when the same stimuli have to be actively categorized according to these two parameters. For this we used a recently introduced method to determine lateralized processing in the AC with contralateral noise. Harmonic frequency modulated (FM) tone complexes were presented monaurally without and with contralateral noise. During categorization of the tones according to their intensity, contralateral noise increased activity mainly in the left AC, suggesting a special role for the left AC in this task. During categorization of tones according to their duration, contralateral noise increased activity in both the left and the right AC. This suggests that active categorization of FM tones according to their duration does not involve only the left AC as has been suggested, but also the right AC to a substantial degree. The area around Heschl's sulcus seems to be the most strongly involved during both intensity and duration categorization, albeit with different lateralization. Altogether the results of the present study support the view that the lateralized processing of the same stimuli in the human AC is strongly modulated by the given task (top-down effect)}, journal = {NeuroImage}, year = {2013}, volume = {83}, pages = {1--11}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880930595&partnerID=40&md5=f63dec4698054fb122f27cfddd5e5089}, document_type = {Article} } @COMMENT{ COMMENTED OUT TO AVOID DOUBLE ENTRY!!! @inproceedings{tuemler2013companion, title = {Companion-basiertes Assistenzsystem f{\"u}r die Mitarbeiterschulung in der Automobilindustrie}, author = {T{\"u}mler, Johannes and Kernchen, Alexa and Mecke, R{\"u}diger and Saxen, Frerk and Al-Hamadi, Ayoub and K{\"o}psel, Anne and Huckauf, Anke}, booktitle = {Fachtagung Digital Engineering}, year = {2013} }} @inproceedings{saeed2013the, author ={Saeed, A. and Al-Hamadi, A. and Niese, R.}, booktitle ={Cybernetics (CYBCONF), 2013 IEEE International Conference on}, title ={The effectiveness of using geometrical features for facial expression recognition}, year ={2013}, month ={June}, pages ={122--127}, keywords ={face recognition;feature extraction;geometry;object detection;affective computing;anger;disgust;entertainment;facial expression recognition;facial point detector;facial point localization error;fear;geometrical features;geometry based approaches;happiness;medical applications;person-specific neutral expression;person-specific neutral state;recognition rate;sadness;surprise;video games;Databases;Detectors;Face;Face recognition;Feature extraction;Geometry;Support vector machines;Facial Expressions;Fiducial Facial Points;Support Vector Machine}, doi ={10.1109/CYBConf.2013.6617455} } @INPROCEEDINGS{behrens:automatic, AUTHOR = {Behrens, Stephanie and Al-Hamadi, Ayoub and Niese, Robert and Redweik, Eicke}, TITLE = {Automatic User-Specific Avatar Parametrisation and Emotion Mapping}, ABSTRACT = {In this paper an approach for automatic user-specific 3D model generation and expression classification is proposed. User performance-driven avatar animation is recently in the focus of research due to the increasing amount of low-cost acquisition devices with integrated depth map computation. Thereby challenging is the user-specific emotion classification without a complex manual initial step. Correct classification and emotion intensity identification can only be done with known expression specific facial feature displacement which differs from user to user. The use of facial feature tracking on predefined 3D model expression animations is presented here as solution statement for automatic emotion classification and intensity calculation. Consequently with this approach partial occlusions of a presented emotion do not hamper expression identification based on the symmetrical structure of human faces. Thus, a markerless, automatic and easy to use performance-driven avatar animation approach is presented.}, BOOKTITLE = {Advanced Concepts for Intelligent Vision Systems - 15th International Conference (ACIVS'13}, PAGES = {192--202}, YEAR = {2013} } @INPROCEEDINGS{6722213, author ={Behrens, S. and Al-Hamadi, A. and Redweik, E. and Niese, R.}, booktitle ={Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on}, title ={Automatic Realtime User Performance-Driven Avatar Animation}, abstract ={In this paper an approach for automatic user-specific 3D model generation and expression classification is proposed. User performance-driven avatar animation is recently in the focus of research due to the increasing amount of low-cost acquisition devices with integrated depth map computation. Thereby challenging is the user-specific emotion classification without a complex manual initialisation. Correct classification and emotion intensity identification can only be done with known expression specific facial feature displacement which differs from user to user. The use of facial feature tracking on predefined 3D model expression animations is presented here as solution statement for automatic emotion classification and intensity calculation. Consequently with this approach partial occlusions of a presented face do not hamper expression identification due to the symmetrical structure of human faces. Thus, a marker less, automatic and easy to use performance-driven avatar animation approach is presented.}, year ={2013}, month ={Oct}, pages ={2694--2699}, keywords ={avatars;computer animation;emotion recognition;feature extraction;learning (artificial intelligence);pattern classification;principal component analysis;probability;solid modelling;MPPCA;automatic emotion classification;automatic realtime user performance-driven avatar animation;automatic user-specific 3D model generation;depth map computation;emotion intensity identification;expression classification;expression identification;expression specific facial feature displacement;facial feature tracking;human face symmetrical structure;learning;low-cost acquisition devices;mixtures of probabilistic principal component analysers;partial occlusion;user-specific emotion classification;Animation;Avatars;Face;Facial features;Feature extraction;Solid modeling;Three-dimensional displays;Avatar animation;automatic facial feature extraction;blendshape animation;face normalisation;facial expression analysis}, doi ={10.1109/SMC.2013.459} } @INPROCEEDINGS{6721842, author ={Niese, R. and Werner, P. and Al-Hamadi, A.}, booktitle ={Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on}, title ={Accurate, Fast and Robust Realtime Face Pose Estimation Using Kinect Camera}, abstract ={Since its release in late 2010 the Microsoft Kinect depth sensor has boosted real time gesture recognition and new man-machine interaction endeavors in the computer vision community. Based on depth image data, in this paper we propose an accurate, fast and robust face pose estimation approach, which for example can be of interest for user behavior analysis, or be of use as a means of man machine interaction modality. In our method we apply the depth sensor to create a user specific model which is fitted with an Iterative Closest Point algorithm. This model consists of point vertices and surface normals. In the fitting procedure we employ the normal vectors for the minimization of distances between the model and the measured point cloud. As the experimental results show, our method is precise, fast and robust in case of strong head rotation, even during facial expression and partial face occlusion.}, year ={2013}, month ={Oct}, pages ={487--490}, keywords ={cameras;computer graphics;computer vision;face recognition;gesture recognition;iterative methods;minimisation;pose estimation;real-time systems;user modelling;Kinect camera;Microsoft Kinect depth sensor;computer vision;depth image data;facial expression;fitting procedure;head rotation;iterative closest point algorithm;man machine interaction modality;normal vectors;partial face occlusion;point cloud;point vertices;real time gesture recognition;real-time face pose estimation;surface normals;user behavior analysis;user specific model;Adaptation models;Cameras;Estimation;Face;Fitting;Solid modeling;Computer vision;depth images;face pose estimation}, doi ={10.1109/SMC.2013.89} } @INPROCEEDINGS{Meissner2013b, author = {Meissner, Daniel and Reuter, Stephan and Wilking, Benjamin and Dietmayer, Klaus}, title = {Road User Tracking Using a Dempster-Shafer Based Classifying Multiple-Model PHD Filter}, booktitle = {Proceedings of the 16th International Conference on Information Fusion}, year = {2013}, keywords = {driver assistance, tracking, PHD, DM, SR, BW, KD}, file = {:2013/ICIF/Meissner2013b.pdf:PDF}, owner = {reuter}, url = {http://isif.org/fusion/proceedings/fusion2013/html/pdf/Thursday,%2011%20July%202013/13.10-14.50/36.Special%20SessionMulti-target%20Detection,%20Localization%20and%20Tracking%20II%20Malazgirt%20C/3-177_%20279%20Road%20User%20Tracking.pdf}, web_url = {http://isif.org/fusion/proceedings/fusion2013/html/pdf/Thursday,%2011%20July%202013/13.10-14.50/36.Special%20SessionMulti-target%20Detection,%20Localization%20and%20Tracking%20II%20Malazgirt%20C/3-177_%20279%20Road%20User%20Trackingslides.pdf}, timestamp = {2013.07.29} } @INPROCEEDINGS{Reuter2013, author = {Reuter, Stephan and Meissner, Daniel and Wilking, Benjamin and Dietmayer, Klaus}, title = {Cardinality Balanced Multi-Target Multi-Bernoulli Filtering Using Adaptive Birth Distributions}, booktitle = {Proceedings of the 16th International Conference on Information Fusion}, year = {2013}, keywords = {driver assistance, tracking, multi-Bernoulli, SR, DM, BW, KD}, file = {:2013/ICIF/Reuter2013.pdf:PDF}, url = {http://isif.org/fusion/proceedings/fusion2013/html/pdf/Friday,%20%2012%20July%202013/10.30-12.10/46.%20Estimation%20and%20filtering%20III%20Malazgirt%20A/1-223_170%20Cardinality%20Balanced%20Multi.pdf}, web_url = {http://isif.org/fusion/proceedings/fusion2013/html/pdf/Friday,%20%2012%20July%202013/10.30-12.10/46.%20Estimation%20and%20filtering%20III%20Malazgirt%20A/1-223_170%20Cardinality%20Balanced%20Multislides.pdf}, owner = {reuter}, timestamp = {2013.07.29} } @CONFERENCE{koepsel13, author = {K{\"o}psel, A. and Huckauf, A.}, title = {Evaluation of Static and Dynamic Freehand Gestures in Device Control}, booktitle = {Proceedings of the Tilburg Gesture Research Meeting (TiGeR)}, year = {2013}, timestamp = {2013.07.10} } @ARTICLE{tuemler13, author = {T{\"u}mler, J. and Kernchen, A. and Mecke, R. and Saxen, F. and Al-Hamadi, A. and K{\"o}psel, A. and Huckauf, A.}, title = {Companion-basiertes Assistenzsystem für die Mitarbeiterschulung in der Automobilindustrie}, journal = {Fachtagung Digital Engineering}, year = {2013}, timestamp = {2013.07.17} } @Inproceedings{Bercher13POCLPreferences, title = {Search Strategies for Partial-Order Causal-Link Planning with Preferences}, year = {2013}, pages = {29--40}, abstract = {This paper studies how to solve classical planning problems with preferences by means of a partial-order causal-link (POCL) planning algorithm. Preferences are given by soft goals -- optional goals which increase a plan's benefit if satisfied at the end of a plan. Thus, we aim at finding a plan with the best net-benefit, which is the difference of the achieved preferences' benefit minus the cost of all actions in the plan that achieves them. While many approaches compile soft goals away, we study how they can be addressed natively by a POCL planning system. We propose novel search and flaw selection strategies for that problem class and evaluate them empirically.}, url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13POCLPreferences.pdf}, web_url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13POCLPreferencesslides.pdf}, booktitle = {27th PuK Workshop ''Planen, Scheduling und Konfigurieren, Entwerfen'' ({PuK} 2013)}, author = {Bercher, Pascal and Ginter, Fabian and Biundo, Susanne} } @INPROCEEDINGS{Honold2013a, author = {Honold, Frank and Sch{\"u}ssel, Felix and Weber, Michael}, title = {Adaptive Multimodal Fusion and Fission with Uncertain Data in Human Computer Interaction}, booktitle = {Proceedings of the HCI International 2013}, year = {2013}, address = {Las Vegas, USA}, month = {July}, organization = {HCII}, note = {poster / short paper}, owner = {Frank}, timestamp = {2013.04.17} } @INPROCEEDINGS{Honold2013b, author = {Honold, Frank and Sch{\"u}ssel, Felix and Munding, Michael and Weber, Michael}, title = {Tangible Context Modelling for Rapid Adaptive System Testing}, booktitle = {Proceedings of the 9th International Conference on Intelligent Environments-- IE'13}, year = {2013}, address = {Athens, Greece}, month = {July}, organization = {IEEE}, url = {/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Weber/IE13_Surface.pdf}, web_url = {/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Weber/IE13_Surfaceslides.pdf}, note = {video / short paper}, owner = {Frank}, timestamp = {2013.04.17} } @INPROCEEDINGS{Honold2013c, author = {Honold, Frank and Sch{\"u}ssel, Felix and Weber, Michael and Nothdurft, Florian and Bertrand, Gregor and Minker, Wolfgang}, title = {Context Models for Adaptive Dialogs and Multimodal Interaction}, booktitle = {Proceedings of the 9th International Conference on Intelligent Environments-- IE'13}, year = {2013}, address = {Athens, Greece}, month = {July}, organization = {IEEE}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6597791&tag=1}, note = {accepted long paper}, owner = {Frank}, timestamp = {2013.04.17} } @ARTICLE{Siegert:DuePiblico, author = {Siegert, Ingo and Hartmann, Kim and Gl{\"u}ge, Stefan and Wendemuth, Andreas}, title = {Modelling of Emotional Development within Human-Computer-Interaction}, journal = {Kognitive Systeme}, year = {2013}, issn = {2197-0343}, publisher = {Universitätsbibliothek Duisburg-Essen}, volume = {1}, abstract = {Future trends point towards the usage of technical systems as companions, adaptable to the user's individual skills, preferences and current emotional state. To enable technical systems to determine a user's emotion, current research focuses on emotion recognition. Besides emotions, personality and moods are eminent as well. Standard emotion recognizers do not consider them adequately and therefore neglect a crucial part of user modelling. The challenge is to gather reliable predictions about the observed emotion of the user and, beyond that, recognise changes in the users emotional reaction during interaction. In this paper we present a mood model that incorporates personality traits based on emotionally labeled data.}, url = {pdf/2013_KogSys_preprint.pdf}, web_url = {pdf/2013_KogSys_preprintslides.pdf} } @incollection{WIRN2013, year = {2014}, isbn = {978-3-319-04128-5}, booktitle = {Recent Advances of Neural Network Models and Applications}, volume = {26}, doi = {10.1007/978-3-319-04129-2_39}, series = {Smart Innovation, Systems and Technologies}, editor = {Simone Bassis and Anna Esposito amd Francesco Carlo Morabito}, title = {Investigating the Form-Function-Relation of the Discourse Particle ?hm? in a Naturalistic Human-Computer Interaction}, publisher = {Springer}, keywords = {Prosodic Analysis; Companion Systems; Human-Computer Interaction; Discourse Particle; Pitch Contour Classification}, author = {Siegert, Ingo and Prylipko, Dmytro and Hartmann, Kim and B{\"o}ck, Ronald and Wendemuth, Andreas}, pages = {387--394}, url = {pdf/2014_wirn_preprint.pdf} } @inproceedings{gossensprachgesteuerte, author = {Gossen, Tatiana and Kotzyba, Michael and Stober, Sebastian and N{\"u}rnberger, Andreas}, booktitle = {43. Jahrestagung der Gesellschaft für Informatik}, title = {Sprachgesteuerte Benutzerschnittstellen zur Suche f{\"u}r junge Nutzer}, year = {2013}, pages = {113--115}, url = {http://wwwiti.cs.uni-magdeburg.de/~stober/publ/gi2013.pdf}, web-url = {http://wwwiti.cs.uni-magdeburg.de/~stober/publ/gi2013slides.pdf} } @INPROCEEDINGS{LayherEtAl2013, title= {Learning Representations of Animated Motion Sequences—A Neural Model}, author= {Layher, Georg and Giese, Martin A and Neumann, Heiko}, booktitle = {Proc. 35th annual meeting of the Cognitive Science Society, 2013 (CogSci, 2013) }, year = {2013}, note= {awarded for the Computational Modeling Prize, Perception/Action} } @INCOLLECTION{RaudiesNeumann2013, author = {Raudies, Florian and Neumann, Heiko}, title = {Modeling binocular and motion transparency processing by local center-surround interactions}, booktitle = {Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts}, editor = {M Pomplun and J Suzuki}, publisher = {IGI Global}, year = {2013} } @ARTICLE{TschechneNeumann2013, author = {Tschechne, S. and Neumann, H.}, title = {Intermediate-Level Motion Representations Account for the Hollow Face Illusion}, journal = {Perception, 42 (abstract suppl.)}, year = {2013}, pages = {99--99} } @inproceedings{gossen2013voicecontrolled, author = {Gossen, Tatiana and Kotzyba, Michael and Stober, Sebastian and N{\"u}rnberger, Andreas}, booktitle = {7th annual Symposium on Human-Computer Interaction and Information Retrieval}, title = {Voice-Controlled Search User Interfaces for Young Users}, url = {http://wwwiti.cs.uni-magdeburg.de/iti_dke/Pdf/HCIR2013_short.pdf}, web_url = {http://wwwiti.cs.uni-magdeburg.de/iti_dke/Pdf/HCIR2013_shortslides.pdf}, numpages = {4}, year = {2013} } @inproceedings{Gossen:2013:ASU:2528394.2528397, author = {Gossen, Tatiana and Nitsche, Marcus and Vos, Jana and N{\"u}rnberger, Andreas}, title = {Adaptation of a Search User Interface Towards User Needs: A Prototype Study with Children \& Adults}, booktitle = {Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval}, series = {HCIR '13}, year = {2013}, isbn = {978-1-4503-2570-7}, location = {Vancouver BC, Canada}, pages = {31--310}, articleno = {3}, numpages = {10}, url = {http://doi.acm.org/10.1145/2528394.2528397}, doi = {10.1145/2528394.2528397}, acmid = {2528397}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {Adaptivity, Children, Context Support, Information Retrieval, Search User Interface} } @INPROCEEDINGS{Kachele2013, author = {K{\"a}chele, Markus and Schwenker, Friedhelm}, title = {Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition}, booktitle = {Partially Supervised Learning}, year = {2013}, editor = {Zhou, Zhi-Hua and Schwenker, Friedhelm}, series = {Lecture Notes in Computer Science}, pages = {21--35}, publisher = {Springer Berlin Heidelberg}, doi = {10.1007/978-3-642-40705-5_3}, isbn = {978-3-642-40704-8}, language = {English}, url = {http://dx.doi.org/10.1007/978-3-642-40705-5_3} } @Inproceedings{ultes-minker:2013:SIGDIAL, author = {Ultes, Stefan and Minker, Wolfgang}, title = {Improving Interaction Quality Recognition Using Error Correction}, booktitle = {Proceedings of the SIGDIAL 2013 Conference}, month = {August}, year = {2013}, address = {Metz, France}, publisher = {Association for Computational Linguistics}, pages = {122--126}, url = {http://www.aclweb.org/anthology/W/W13/W13-4018} } @INPROCEEDINGS{2013su01, author = {Ultes, Stefan and Schmitt, Alexander and Minker, Wolfgang}, month = {June}, title = {On Quality Ratings for Spoken Dialogue Systems -- Experts vs. Users}, booktitle = {Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}, year = {2013}, pages = {569--578}, publisher = {Association for Computational Linguistics}, location = {Atlanta, Georgia}, url = {http://www.aclweb.org/anthology/N13-1064} } @inbook{RefWorks:604, author ={Schels, Martin and Glodek, Michael and Palm, G{\"u}nther and Schwenker, Friedhelm}, year ={2013}, title ={Revisiting AVEC 2011 -- An Information Fusion Architecture}, series ={Neural Nets and Surroundings}, publisher ={Springer}, volume ={19}, pages ={385--393} } @BOOK{T2CTCCGL13, EDITOR = {B{\"o}ck, Ronald and Degens, Nick and Heylen, Dirk and Louchart, Sandy and Minker, Wolfgang and Morency, Louis-Philippe and Nazir, Asad and Schwenker, Friedhelm and Siegert, Ingo}, TITLE = {Joint Proceedings of the 2013th T2CT and CCGL Workshops}, PUBLISHER = {Otto von Guericke University Magdeburg}, YEAR = {2013}, Address = {Magdeburg}, ISBN = {978-3-940961-99-9}, } @inproceedings{Vlasenko_2013ACII, author = {Vlasenko, Bogdan and Philippou-H{\"u}bner, David and Wendemuth, Andreas}, title = {Parameter optimization issues for cross-corpora emotion classification}, booktitle ={Proceedings of the Affective Computing and Intelligent Interaction, ACII 2013}, year = {2013}, pages = {454--459}, address = {Gevenve} } @INPROCEEDINGS{ScGl13a, author = {Schiller, Marvin R.G. and Glimm, Birte}, booktitle = {Proceedings of the 2013 International Description Logic Workshop ({DL} 2013)}, title = {Towards Explicative Inference for {OWL}}, publisher = {{CEUR} Workshop Proceedings}, volume = {1014}, year = {2013}, pages = {online}, keywords = {OWL, Description Logics, Explanations, Justifications}, url = {/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/ScGl13a.pdf}, web_url = {http://ceur-ws.org/Vol-1014/paper_36.pdf}, tags = {AutomatedReasoning}, abstract = {Automated reasoning in OWL is capable of inferences that are nontrivial for people to understand. We argue that the understanding of inferences would benefit from stepwise explanations. To build a system that supports such explicative inference, we propose a framework based on inference rules and proof tactics for OWL ontologies. In particular, the goal is to present inferences in a suitable and adaptable way to human users, and to predict whether certain inferences are harder to understand than others. This article outlines the conception of this framework and its benefits whose implementation is currently work in progress.}, } @incollection{Schels2013EtAl, title = {Multi-modal classifier-fusion for the recognition of emotions}, year = {2013}, editor = {Matej Rojc and Nick Campbell}, author = {Schels, Martin and Glodek, Michael and Meudt, Sascha and Scherer, Stefan and Schmidt, Miriam and Layher, Georg and Tschechne, Stephan and Brosch, Tobias and Hrabal, David and Walter, Steffen and Palm, G{\"u}nther and Neumann, Heiko and Traue, Harald and Schwenker, Friedhelm}, booktitle = {Coverbal synchrony in Human-Machine Interaction}, publisher = {CRC Press}, chapter = {4}, pages = {73--98} } @article{RaudiesEtAl2013, author = {Raudies, Florian and Ringbauer, Stefan and Neumann, Heiko}, title = {A bio-inspired, computational model suggests velocity gradients of optical flow encode ordinal depth at surface borders and globally they encode self-motion}, journal = {Neural Computation}, volume = {25}, pages = {160--176}, year = {2013} } @article{LayherNeuamnn2013, title= {Combining form and motion-an integrated approach for learning biological motion representations}, author= {Layher, Georg and Neumann, Heiko}, journal= {Journal of Vision (VSS Abstract)}, volume= {13}, number= {9}, pages= {194--194}, year= {2013}, publisher= {Association for Research in Vision and Ophthalmology} } @incollection{TschechneEtAl2013, year= {2013}, isbn= {978-3-642-40727-7}, booktitle= {Artificial Neural Networks and Machine Learning – ICANN 2013}, volume= {8131}, series= {Lecture Notes in Computer Science}, doi= {10.1007/978-3-642-40728-4_29}, title= {A Biologically Inspired Model for the Detection of External and Internal Head Motions}, publisher= {Springer Berlin Heidelberg}, keywords= {Social Interaction; HCI; Motion Patterns; Cortical Processing}, author= {Tschechne, Stephan and Layher, Georg and Neumann, Heiko}, pages= {232--239} } @inproceedings{BroschNeumann2013, series = {LNCS}, keywords = {SAGREL}, pages = {272--279}, booktitle = {ICANN}, publisher = {Springer}, author = {Brosch, T. and Schwenker, F. and Neumann, H.}, title = {Attention-Gated Reinforcement Learning in Neural Networks-A Unified View}, volume = {8131}, year = {2013} } @ARTICLE{KoGl13a, author = {Kollia, Ilianna and Glimm, Birte}, title = {Optimizing {SPARQL} Query Answering over {OWL} Ontologies}, journal = {Journal of Artificial Intelligence Research ({JAIR})}, year = {2013}, pages = {253--303}, volume = {48}, url = {/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/KoGl13a.pdf}, web_url = {https://www.jair.org/media/3872/live-3872-7402-jair.pdf}, keywords = {Reasoning, Description Logics, Optimisations, Optimizations}, tags = {SFB-TRR-62,AutomatedReasoning}, abstract = {The SPARQL query language is currently being extended by the World Wide Web Consortium (W3C) with so-called entailment regimes. An entailment regime defines how queries are evaluated under more expressive semantics than SPARQL's standard simple entailment, which is based on sub-graph matching. The queries are very expressive since variables can occur within complex class expressions and can also bind to class or property names. In this paper, we describe a sound and complete algorithm for the OWL Direct Semantics entailment regime. We further propose several novel optimizations such as strategies for determining a good query execution order, query rewriting techniques, and show how specialized OWL reasoning tasks and the class and property hierarchy can be used to reduce the query execution time. For determining a good execution order, we propose a cost-based model, where the costs are based on information about the instances of classes and properties that are extracted from a model abstraction built by an OWL reasoner. We present two ordering strategies: a static and a dynamic one. For the dynamic case, we improve the performance by exploiting an individual clustering approach that allows for computing the cost functions based on one individual sample from a cluster. We provide a prototypical implementation and evaluate the efficiency of the proposed optimizations. Our experimental study shows that the static ordering usually outperforms the dynamic one when accurate statistics are available. This changes, however, when the statistics are less accurate, e.g., due to non-deterministic reasoning decisions. For queries that go beyond conjunctive instance queries we observe an improvement of up to three orders of magnitude due to the proposed optimizations.} } @Inproceedings{Bercher13SampleFF, title = {On Delete Relaxation in Partial-Order Causal-Link Planning}, year = {2013}, pages = {674--681}, abstract = {We prove a new complexity result for Partial-Order Causal-Link (POCL) planning, in which we study the hardness of refining a search node (i.e., a partial plan) to a valid solution given a delete effect-free domain model. While the corresponding decision problem is known to be polynomial in state-based search (where search nodes are states), it turns out to be intractable in the POCL setting. Since both the currently best-informed heuristics for POCL planning are based on delete relaxation, we hope that our result sheds some new light on the problem of designing heuristics for POCL planning. Based on this result, we developed a new variant of one of these heuristics which incorporates more information of the current partial plan. We evaluate our heuristic on several domains of the early International Planning Competitions and compare it with other POCL heuristics from the literature.}, url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13SampleFF.pdf}, web_url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13SampleFFSlides.pdf}, booktitle ={Proceedings of the 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI 2013)}, author = {Bercher, Pascal and Geier, Thomas and Richter, Felix and Biundo, Susanne} } @Inproceedings{Bercher13POCLHeuristics, title = {Using State-Based Planning Heuristics for Partial-Order Causal-Link Planning}, year = {2013}, pages = {1--12}, abstract = {We present a technique which allows partial-order causal-link (POCL) planning systems to use heuristics known from state-based planning to guide their search. The technique encodes a given partially ordered partial plan as a new classical planning problem that yields the same set of solutions reachable from the given partial plan. As heuristic estimate of the given partial plan a state-based heuristic can be used estimating the goal distance of the initial state in the encoded problem. This technique also provides the first admissible heuristics for POCL planning, simply by using admissible heuristics from state-based planning. To show the potential of our technique, we conducted experiments where we compared two of the currently strongest heuristics from state-based planning with two of the currently best-informed heuristics from POCL planning.}, url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13POCLHeuristics.pdf}, web_url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13POCLHeuristicsSlides.pdf}, booktitle ={Advances in Artificial Intelligence, Proceedings of the 36th German Conference on Artificial Intelligence ({KI} 2013)}, author = {Bercher, Pascal and Geier, Thomas and Biundo, Susanne} } @INPROCEEDINGS{6735312, author= {Glodek, Michael and Geier, Thomas and Biundo, Susanne and Schwenker, Friedhelm and Palm, G{\"u}nther}, booktitle= {Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International Conference on}, title= {Recognizing User Preferences Based on Layered Activity Recognition and First-Order Logic}, year= {2013}, month= {Nov}, pages= {648--653}, keywords= {Conditioned hidden Markov model;Layered architecture;Markov logic network}, doi= {10.1109/ICTAI.2013.101}, ISSN= {1082-3409},} @INPROCEEDINGS{Reuter2013c, author = {Reuter, Stephan and Vo, Ba-Tuong and Wilking, Benjamin and Meissner, Daniel and Dietmayer, Klaus}, title = {Divergence Detectors for the $\delta$-Generalized Labeled Multi-Bernoulli Filter}, booktitle = {Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on}, year = {2013}, keywords = {tracking,SR,DM,BW,KD}, address = {Bonn, Germany}, owner = {reuter}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6698263}, organization={IEEE}, timestamp = {2013.10.15} } @INPROCEEDINGS{Glodek2013, author = {Glodek, Michael and Reuter, Stephan and Schels, Martin and Dietmayer, Klaus and Schwenker, Friedhelm}, title = {Kalman Filter Based Classifier Fusion for Affective State Recognition}, booktitle = {Proceedings of the International Workshop on Multiple Classifier Systems (MCS)}, year = {2013}, volume = {7872}, series = {Lecture Notes in Computer Science (LNCS)}, pages = {85--94}, publisher = {Springer}, doi = {10.1007/978-3-642-38067-9_8}, owner = {glodek}, timestamp = {2013.03.04} } @INPROCEEDINGS{Glodek2013b, author = {Glodek, Michael and Trentin, Edmondo and Schwenker, Friedhelm and Palm, G{\"u}nther}, title = {Hidden {M}arkov Models with Graph Densities for Action Recognition}, booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN)}, year = {2013}, pages = {964--969}, owner = {glodek}, timestamp = {2013.05.02} } @ARTICLE{Glodek2012f, author = {Glodek, Michael and Schels, Martin and Schwenker, Friedhelm}, title = {Ensemble {G}aussian mixture models for probability density estimation}, journal = {Computational Statistics}, year = {2013}, volume = {27}, pages = {127--138}, number = {1}, affiliation = {Institute of Neural Information Processing, University of Ulm, 89069 Ulm, Germany}, doi = {10.1007/s00180-012-0374-5}, file = {:Glodek2013f.pdf:PDF;:Glodek2012b.pdf:PDF}, owner = {glodek}, publisher = {Springer}, timestamp = {2012.10.29} } @INPROCEEDINGS{Meissner2013, author = {Meissner, Daniel and Reuter, Stephan and Dietmayer, Klaus}, title = {Road User Tracking at Intersections Using a Multiple-Model PHD Filter}, booktitle = {IEEE Intelligent Vehicles Symposium (IV)}, year = {2013}, keywords = {driver assistance, fusion, Vehicle Environment Perception, Information fusion, Smart Infrastrfusion, DM, SR, KD}, pages = {377--382}, month = {6}, file = {:2013\\IV\\Meissner2013.pdf:PDF}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6629498&tag=1}, owner = {meissner}, timestamp = {2013.03.14} } @article{reuter2013real, title= {Real-Time Multi-Object Tracking using Random Finite Sets}, author= {Reuter, Stephan and Wilking, Benjamin and Wiest, J{\"u}rgen and Munz, Michael and Dietmayer, Klaus}, journal= {Aerospace and Electronic Systems, IEEE Transactions on}, volume= {49}, number= {4}, pages= {2666--2678}, year= {2013}, publisher= {IEEE} } @INPROCEEDINGS{Nothdurft:2013:BHT, author = {Nothdurft, Florian and Lang, Helmut and Klepsch, Melina and Minker, Wolfgang}, keywords = {Adaptive systems, dialogue systems, Expert Systems, explanations, human-computer trust}, title = {Bases of human-computer trust and explanations}, booktitle = {CHI '13 Extended Abstracts on Human Factors in Computing Systems}, series = {CHI EA '13}, year = {2013}, pages = {1737--1742}, publisher = {ACM}, location = {Paris, France}, address = {New York, NY, USA}, isbn = {978-1-4503-1952-2}, doi = {10.1145/2468356.2468667}, numpages = {6}, acmid = {2468667} } @INPROCEEDINGS{Lang:2013:CSS, author = {Lang, Helmut and Klepsch, Melina and Nothdurft, Florian and Seufert, Tina and Minker, Wolfgang}, keywords = {casa, evaluation modalities}, title = {Are computers still social actors?}, booktitle = {CHI '13 Extended Abstracts on Human Factors in Computing Systems}, series = {CHI EA '13}, year = {2013}, pages = {859--864}, publisher = {ACM}, location = {Paris, France}, address = {New York, NY, USA}, isbn = {978-1-4503-1952-2}, doi = {10.1145/2468356.2468510}, numpages = {6}, acmid = {2468510} } @inproceedings{NothdurftHM13, author = {Nothdurft, Florian and Heinroth, Tobias and Minker, Wolfgang}, title = {The Impact of Explanation Dialogues on Human-Computer Trust}, booktitle = {HCI International 2013}, year = {2013}, pages = {59--67} } @Article{Hoffmann2013_1, author = {Hoffmann, Holger and C. Traue, Harald and Limbrecht-Ecklundt, Kerstin and Walter, Steffen and Kessler, Henrik}, title = {Static and Dynamic Presentation of Emotions in Different Facial Areas: Fear and Surprise Show Influences of Temporal and Spatial Properties}, journal = {Psychology}, year = {2013}, volume = {4}, number = {8}, pages = {663--668}, doi = {10.4236/psych.2013.48094} } @Inproceedings{Bercher13EncodingPlans, title = {Encoding Partial Plans for Heuristic Search}, year = {2013}, pages = {11--15}, abstract = {We propose a technique that allows any planning system that searches in the space of partial plans to make use of heuristics from the literature which are based on search in the space of states. The technique uses a problem encoding that reduces the problem of finding a heuristic value for a partial plan to finding a heuristic value for a state: It encodes a partial plan into a new planning problem, s.t. solutions for the new problem correspond to solutions reachable from the partial plan. Evaluating the goal distance of the partial plan then corresponds to evaluating the goal distance of the initial state in the new planning problem.}, tags = {SFB-TRR-62,Planning,KnowledgeModeling}, url = {http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2013/Bercher13EncodingPlans.pdf}, booktitle = {Proceedings of the 4th Workshop on Knowledge Engineering for Planning and Scheduling ({KEPS} 2013) at {ICAPS} 2013}, author = {Bercher, Pascal and Biundo, Susanne} } @inproceedings{RefWorks:549, author ={Palm, G{\"u}nther and Glodek, Michael}, editor ={Bruno Apolloni and Bassis Simone and Anna Esposito and Francesco Carlo Morabito}, year ={2013}, title ={Towards Emotion Recognition in Human Computer Interaction}, booktitle ={Neural Nets and Surroundings}, publisher ={Springer}, volume ={19}, pages ={323--336} } @INPROCEEDINGS{Boeck2013IUKM, author = {B{\"o}ck, R. and Gl{\"u}ge, Stefan and Wendemuth, A.}, title = {Dempster-Shafer Theory with Smoothness}, booktitle = {Proceedings of the 3rd International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2013)}, year = {2013}, location = {Beijing, China}, publisher = {Springer}, pages = {13--21}, editor = {Z. Qin and V.-N. Huynh}, keywords = {buch} } @inproceedings{Gluege2013ESANN, author = {Gl{\"u}ge, S. and B{\"o}ck, R. and Wendemuth, A.}, booktitle = {Proceedings of the European Symposium on Artificial Neural Networks}, year = {2013}, location = {Bruges, Belgium}, title = {Auto-Encoder Pre-Training of Segmented-Memory Recurrent Neural Networks}, publisher= {Ciaco-i6doc.com}, pages= {29--34}, url = {https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2013-50.pdf}, web_url = {https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2013-50Slides.pdf}, keywords = {buch} } @INPROCEEDINGS{6617458, author= {Siegert, Ingo and Glodek, Michael and Panning, Axel and Krell, Gerald and Schwenker, Friedhelm and Al-Hamadi, Ayoub and Wendemuth, Andreas}, booktitle= {IEEE International Conference on Cybernetics (CYBCONF)}, title= {Using speaker group dependent modelling to improve fusion of fragmentary classifier decisions}, year= {2013}, pages= {132--137}, doi= {10.1109/CYBConf.2013.6617458}, abstract= {Current speech-controlled human computer interaction is purely based on spoken information. For a successful interaction, additional information such as the individual skills, preferences and actual affective state of the user are often mandatory. The most challenging of these additional inputs is the affective state, since affective cues are in general expressed very sparsely. The problem can be addressed in two ways. On the one hand, the recognition can be enhanced by making use of already available individual information. On the other hand, the recognition is aggravated by the fact that research is often limited to a single modality, which in real-life applications is critical since recognition may fail in case sensors do not perceive a signal. We address the problem by enhancing the acoustic recognition of the affective state by partitioning the user into groups. The assignment of a user to a group is performed at the beginning of the interaction, such that subsequently a specialized classifier model is utilized. Furthermore, we make use of several modalities, acoustics, facial expressions, and gesture information. The combination of decisions not affected by sensor failures from these multiple modalities is achieved by a Markov Fusion Network. The proposed approach is studied empirically using the LAST MINUTE corpus. We could show that compared to previous studies a significant improvement of the recognition rate can be obtained.}, keywords={Accuracy;Acoustics;Emotion recognition;Feature extraction;Speech;Speech recognition;Visualization;Affect Recognition;Companion Systems;Human Computer Interaction;Multimodal Pattern Recognition}, doi= {10.1109/CYBConf.2013.6617458}, url = {pdf/2013_cybconf_preprint.pdf} } @incollection{HBU2013, year= {2013}, isbn= {978-3-319-02713-5}, booktitle= {Human Behavior Understanding}, volume= {8212}, series= {Lecture Notes in Computer Science}, editor= {Salah, AlbertAli and Hung, Hayley and Aran, Oya and Gunes, Hatice}, doi= {10.1007/978-3-319-02714-2_21}, title= {Human Behaviour in HCI: Complex Emotion Detection through Sparse Speech Features}, publisher= {Springer International Publishing}, keywords= {Prosodic Analysis; Companion Systems; Human-Computer Interaction; Discourse Particle; Pitch Contour Classification}, author= {Siegert, Ingo and Hartmann, Kim and Philippou-H{\"u}bner, David and Wendemuth, Andreas}, pages= {246--257}, abstract = {To obtain a more human-like interaction with technical systems, those have to be adaptable to the users’ individual skills, preferences, and current emotional state. In human-human interaction (HHI) the behaviour of the speaker is characterised by semantic and prosodic cues, given as short feedback signals. These signals minimally communicate certain dialogue functions such as attention, understanding, confirmation, or other attitudinal reactions. Thus, these signals play an important role in the progress and coordination of interaction. They allow the partners to inform each other of their behavioural or affective state without interrupting the ongoing dialogue. Vocal communication provides acoustic details revealing the speaker’s feelings, believes, and social relations. Incorporating discourse particles (DPs) in human-computer interaction (HCI) systems will allow the detection of complex emotions, which are currently hard to access. Complex emotions in turn are closely related to human behaviour. Hence, integrating automatic DP detection and complex emotion assignment in HCI systems provides a first approach to the integration of human behaviour understanding in HCI systems. In this paper we present methods allowing to extract the pitch-contour of DPs and to assign complex emotions to observed DPs. We investigate the occurrences of DPs in naturalistic HCI and show that DPs may be assigned to complex emotions automatically. Furthermore, we show that DPs are indeed related to behaviour, showing an age-gender specific usage during naturalistic HCI. Additionally, we prove that DPs may be used to automatically detect and classify complex emotions during HCI.}, url = {pdf/2013_hbu_preprint.pdf}, web_url = {pdf/2013_hbu_preprintslides.pdf} } @Inproceedings{Boeck:ACII13, author = {B{\"o}ck, Ronald and Gl{\"u}ge, Stefan and Siegert, Ingo and Wendemuth, Andreas}, title = {Annotation and Classification of Changes of Involvement in Group Conversation}, booktitle = {Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013)}, address = {Geneve, Switzerland}, month = {September}, date= {2-5}, year = {2013}, pages = {803--808}, publisher= {IEEE}, url = {http://pd.zhaw.ch/publikation/upload/205017.pdf}, web_url = {http://pd.zhaw.ch/publikation/upload/205017slides.pdf}, abstract = {The detection of involvement in a conversation is important to assess the level humans are participating in either a human-human or human-computer interaction. Especially, detecting changes in a group’s involvement in a multi-party interaction is of interest to distinguish several constellations in the group itself. This information can further be used in situations where technical support of meetings is favoured, for instance, focusing a camera, switching microphones, etc. Moreover, this information could also help to improve the performance of technical systems applied in human-machine interaction. In this paper, we concentrate on video material given by the TableTalk corpus. Therefore, we introduce a way of annotating and classifying changes of involvement and discuss the reliability of the annotation. Further, we present classification results based on video features using Multi-Layer Networks.} } @incollection{IFACK_H_13, author = {Hartmann, Kim and Siegert, Ingo and Philippou-H{\"u}bner, David and Wendemuth, Andreas}, title = {Emotion Detection in HCI: From Speech Features to Emotion Space}, booktitle ={Analysis, Design, and Evaluation of Human-Machine Systems}, volume= {12/1}, year = {2013}, publisher= {International Federation of Automatic Control}, issn = {1474-6670}, doi = {10.3182/20130811-5-US-2037.00049}, pages = {288--295}, editor = {Narayanan, S.}, abstract = {Control mechanisms in modern Human-Computer Interaction (HCI) underwent a paradigm shift from textual or display-based control to more intuitive control mechanisms, such as speech, gesture and mimic. Especially speech provides a high information density, delivering information about the speaker's inner state as well as his intention and demand. While word-based analyses allow to understand the speaker's request, further speech characteristics reveal the speakers emotion, intention and motivation. Therefore, emotion detection from speech became signicant in modern HCI applications. However, the results from the disciplines involved in the emotion detection are not easily merged. Engineers developing voice controlled HCI systems work in feature spaces", relying on technically measurable acoustic and spectral features. Psychologists analysing and identifying emotions work in emotion categories, schemes or dimensional emotion spaces, describing emotions in terms of quantities and qualities of human notable expressions. While engineering methods notice the slightest variations in speech, emotion theories allow to compare and identify emotions, but must rely on human judgements. However, both perceptions are essential and must be combined to allow machines to allocate aective states during HCI. To provide a link between machine measurable variations in emotional speech and dimensional emotion theory, signicant features describing emotions must be identied and analysed regarding their transferability to emotion space. In this article we present a justiable feature selection for emotion detection from speech and show how to relate measurable features to emotions. We discuss our transformation model and validate both feature selection and model, based on a selection of the Emo-DB corpus.} } @incollection{siegertHCII:2013, year = {2013}, isbn = {978-3-642-39341-9}, booktitle = {Human-Computer Interaction. Towards Intelligent and Implicit Interaction}, Volume = {8008}, series = {Lecture Notes in Computer Science}, editor = {Kurosu, Masaaki}, doi = {10.1007/978-3-642-39342-6_42}, title = {The Influence of Context Knowledge for Multi-modal Affective Annotation}, publisher = {Springer Berlin, Heidelberg}, keywords = {emotion comparison; affective state; labelling; context influence}, author = {Siegert, Ingo and B{\"o}ck, Ronald and Wendemuth, Andreas}, pages = {381--390}, abstract = {To provide successful human-computer interaction, automatic emotion recognition from speech experienced greater attention, also increasing the demand for valid data material. Additionally, the difficulty to find appropriate labels is increasing. Therefore, labels, which are manageable by evaluators and cover nearly all occurring emotions, have to be found. An important question is how context influences the annotators’ decisions. In this paper, we present our investigations of emotional affective labelling on natural multi-modal data investigating different contextual aspects. We will explore different types of contextual information and their influence on the annotation process. In this paper we investigate two specific contextual factors, observable channels and knowledge about the interaction course. We discover, that the knowledge about the previous interaction course is needed to assess the affective state, but that the presence of acoustic and video channel can partially replace the lack of discourse knowledge. }, url = {pdf/2013_hcii_sie_preprint.pdf} } @incollection{boeckHCII:2013, year = {2013}, isbn = {978-3-642-39341-9}, booktitle = {Human-Computer Interaction. Towards Intelligent and Implicit Interaction}, Volume = {8008}, series = {Lecture Notes in Computer Science}, editor = {Kurosu, Masaaki}, doi = {10.1007/978-3-642-39342-6_33}, title = {Audio-Based Pre-classification for Semi-automatic Facial Expression Coding}, publisher = {Springer Berlin, Heidelberg}, author = {B{\"o}ck, Ronald and Limbrecht-Ecklundt, Kerstin and Siegert, Ingo and Walter, Steffen and Wendemuth, Andreas}, pages = {301--309}, abstract = {The automatic classification of the users’ internal affective and emotional states is nowadays to be considered for many applications, ranging from organisational tasks to health care. Developing suitable automatic technical systems, training material is necessary for an appropriate adaptation towards users. In this paper, we present a framework which reduces the manual effort in annotation of emotional states. Mainly it pre-selects video material containing facial expressions for a detailed coding according to the Facial Action Coding System based on audio features, namely prosodic and mel-frequency features. Further, we present results of first experiments which were conducted to give a proof-of-concept and to define the parameters for the classifier that is based on Hidden Markov Models. The experiments were done on the EmoRec I dataset.} } @INPROCEEDINGS {Schmidt:SPIE, author = {Schmidt, Daniel and Sadri, Hossein and Szewieczek, Artur and Sinapius, Michael and Wierach, Peter and Siegert, Ingo and Wendemuth, Andreas}, title = {Characterization of Lamb wave attenuation mechanisms}, booktitle = {Proceedings of SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring}, year = {2013}, volume = {8695}, pages = {869503--869510}, doi = {10.1117/12.2009594}, abstract = {Structural Health Monitoring (SHM) based on Lamb waves, a type of ultrasonic guided waves, is a promising technique for in-service inspection of composite structures. This study investigates the attenuation mechanisms of Lamb wave propagation fields. The attenuation of an anisotropic plate is experimental measured with air-coupled ultrasonic scanning techniques and analytical modeled using higher order plate theory. Based on the experimental and analytical data the various attenuation mechanisms are characterized for the fundamental Lamb wave modes.} } @article{walter2013transsituational, title= {Transsituational Individual-Specific Biopsychological Classification of Emotions}, author= {WALTER, Steffen and JONGHWA, KIM and HRABAL, David and CRAWCOUR, Stephen Clive and KESSLER, Henrik and C TRAUE, Harald}, journal= {IEEE transactions on systems, man, and cybernetics. Systems}, volume= {43}, number= {4}, pages= {988--995}, year= {2013}, doi = {10.1109/TSMCA.2012.2216869}, ISSN = {2168-2216}, publisher={Institute of Electrical and Electronics Engineers} } @incollection{Krell:MPRSS13, year = {2013}, isbn = {978-3-642-37080-9}, booktitle = {Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. First IAPR TC3 Workshop, MPRSS 2012, Tsukuba, Japan, November 11, 2012, Revised Selected Papers}, volume = {7742}, series = {Lecture Notes in Artificial Intelligence}, editor = {Schwenker, Friedhelm and Scherer, Stefan and Morency, Louis-Philippe}, doi = {10.1007/978-3-642-37081-6_13}, title = {Fusion of Fragmentary Classifier Decisions for Affective State Recognition}, publisher = {Springer Berlin, Heidelberg}, keywords = {Emotion recognition; human computer interaction; multi-modal data}, author = {Krell, Gerald and Glodek, Michael and Panning, Axel and Siegert, Ingo and Michaelis, Bernd and Wendemuth, Andreas and Schwenker, Friedhelm}, pages = {116--130}, abstract = {Real human-computer interaction systems based on different modalities face the problem that not all information channels are always available at regular time steps. Nevertheless an estimation of the current user state is required at anytime to enable the system to interact instantaneously based on the available modalities. A novel approach to decision fusion of fragmentary classifications is therefore proposed and empirically evaluated for audio and video signals of a corpus of non-acted user behavior. It is shown that visual and prosodic analysis successfully complement each other leading to an outstanding performance of the fusion architecture.}, url = {pdf/2013_mpr22_preprint.pdf} } @inproceedings{Vlasenko_2013AFFINE, author = {Vlasenko, Bogdan and Philippou-H{\"u}bner, David and Wendemuth, Andreas}, title = {Determining the smallest emotional unit for level of arousal classification}, booktitle = {Proceedings of the ACII 2013 for 5th International Workshop on Affective Interaction in Natural Environments (AFFINE)}, year = {2013}, pages = {734--739}, address = {Gevenve} }