sascha meudt
sascha meudt
Verified email at uni-ulm.de
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
582014
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, ...
IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human …, 2016
402016
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
262013
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
232014
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
222013
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
Revisiting the EmotiW challenge: how wild is it really?
M Kächele, M Schels, S Meudt, G Palm, F Schwenker
Journal on Multimodal User Interfaces 10 (2), 151-162, 2016
182016
Multi-modal classifier-fusion for the classification of emotional states in woz scenarios
M Schels, M Glodek, S Meudt, M Schmidt, D Hrabal, R Boeck, S Walter, ...
Proceedings of the 1st International Conference on Affective and Pleasurable …, 2012
172012
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, 73-103, 2016
152016
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
142014
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, ...
International Workshop on Multimodal Analyses Enabling Artificial Agents in …, 2014
142014
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
132012
Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion.
S Scherer, I Siegert, L Bigalke, S Meudt
LREC, 2010
112010
Enhanced autocorrelation in real world emotion recognition
S Meudt, F Schwenker
Proceedings of the 16th international conference on multimodal interaction …, 2014
102014
On instance selection in audio based emotion recognition
S Meudt, F Schwenker
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 186-192, 2012
102012
The uulmMAC database—A multimodal affective corpus for affective computing in human-computer interaction
D Hazer-Rau, S Meudt, A Daucher, J Spohrs, H Hoffmann, F Schwenker, ...
Sensors 20 (8), 2308, 2020
92020
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
92018
Machine learning driven heart rate detection with camera photoplethysmography in time domain
V Kessler, M Kächele, S Meudt, F Schwenker, G Palm
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 324-334, 2016
82016
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
72016
Active learning for speech event detection in HCI
P Thiam, S Meudt, F Schwenker, G Palm
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 285-297, 2016
72016
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