| Fusion of audio-visual features using hierarchical classifier systems for the recognition of affective states and the state of depression M Kächele, M Glodek, D Zharkov, S Meudt, F Schwenker depression 1 (1), 671-678, 2014 | 80 | 2014 |
| The senseemotion database: A multimodal database for the development and systematic validation of an automatic pain-and emotion-recognition system M Velana, S Gruss, G Layher, P Thiam, Y Zhang, D Schork, V Kessler, ... Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2017 | 78 | 2017 |
| Multi-modal classifier-fusion for the recognition of emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ... Coverbal Synchrony in Human-Machine Interaction, 73-98, 2013 | 31 | 2013 |
| Prosodic, spectral and voice quality feature selection using a long-term stopping criterion for audio-based emotion recognition M Kächele, D Zharkov, S Meudt, F Schwenker 2014 22nd International Conference on Pattern Recognition, 803-808, 2014 | 27 | 2014 |
| Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech S Meudt, D Zharkov, M Kächele, F Schwenker Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 24 | 2013 |
| Revisiting the EmotiW challenge: how wild is it really? Classification of human emotions in movie snippets based on multiple features M Kächele, M Schels, S Meudt, G Palm, F Schwenker Journal on Multimodal User Interfaces 10, 151-162, 2016 | 23 | 2016 |
| Going further in affective computing: how emotion recognition can improve adaptive user interaction S Meudt, M Schmidt-Wack, F Honold, F Schüssel, M Weber, F Schwenker, ... Toward Robotic Socially Believable Behaving Systems-Volume I: Modeling …, 2016 | 22 | 2016 |
| ATLAS–an annotation tool for HCI data utilizing machine learning methods S Meudt, L Bigalke, F Schwenker Proc. of APD 12, 5347-5352, 2012 | 20 | 2012 |
| Detection of emotional events utilizing support vector methods in an active learning HCI scenario P Thiam, S Meudt, M Kächele, G Palm, F Schwenker Proceedings of the 2014 workshop on emotion representation and modelling in …, 2014 | 17 | 2014 |
| Multi-modal classifier-fusion for the classification of emotional states in woz scenarios M Schels, M Glodek, S Meudt, M Schmidt, D Hrabal, R Böck, S Walter, ... Proceedings of the 1st International Conference on Affective and Pleasurable …, 2012 | 17 | 2012 |
| Atlas-annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios S Meudt, L Bigalke, F Schwenker 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 15 | 2012 |
| Deep learning algorithms for emotion recognition on low power single board computers V Srinivasan, S Meudt, F Schwenker Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2019 | 14 | 2019 |
| A temporal dependency based multi-modal active learning approach for audiovisual event detection P Thiam, S Meudt, G Palm, F Schwenker Neural Processing Letters 48 (2), 709-732, 2018 | 13 | 2018 |
| On annotation and evaluation of multi-modal corpora in affective human-computer interaction M Kächele, M Schels, S Meudt, V Kessler, M Glodek, P Thiam, ... Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction …, 2015 | 13 | 2015 |
| Enhanced autocorrelation in real world emotion recognition S Meudt, F Schwenker Proceedings of the 16th international conference on multimodal interaction …, 2014 | 12 | 2014 |
| Machine learning driven heart rate detection with camera photoplethysmography in time domain V Kessler, M Kächele, S Meudt, F Schwenker, G Palm Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016 | 11 | 2016 |
| On instance selection in audio based emotion recognition S Meudt, F Schwenker Artificial Neural Networks in Pattern Recognition: 5th INNS IAPR TC 3 GIRPR …, 2012 | 11 | 2012 |
| Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion. S Scherer, I Siegert, L Bigalke, S Meudt LREC, 2010 | 11 | 2010 |
| Inferring mental overload based on postural behavior and gestures H Hihn, S Meudt, F Schwenker Proceedings of the 2nd workshop on emotion representations and modelling for …, 2016 | 10 | 2016 |
| Active learning for speech event detection in HCI P Thiam, S Meudt, F Schwenker, G Palm Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016 | 9 | 2016 |
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
