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sascha meudt
sascha meudt
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Title
Cited by
Cited by
Year
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
752014
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
742017
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
312013
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
292014
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
252013
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
232016
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
222016
ATLAS–an annotation tool for HCI data utilizing machine learning methods
S Meudt, L Bigalke, F Schwenker
Proc. of APD 12, 5347-5352, 2012
202012
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
182014
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, ...
1st International Conference on Affective and Pleasurable Design, 5337-5346, 2012
172012
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
152012
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
142019
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
142018
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
132015
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
112016
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
112016
Enhanced autocorrelation in real world emotion recognition
S Meudt, F Schwenker
Proceedings of the 16th international conference on multimodal interaction …, 2014
112014
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
112012
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
102016
Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion.
S Scherer, I Siegert, L Bigalke, S Meudt
LREC, 2010
102010
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Articles 1–20