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2020 – today
- 2020
[j3]Dilana Hazer-Rau, Sascha Meudt, Andreas Daucher, Jennifer Spohrs, Holger Hoffmann, Friedhelm Schwenker
, Harald C. Traue:
The uulmMAC Database - A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction. Sensors 20(8): 2308 (2020)
2010 – 2019
- 2019
- [b1]Sascha Meudt:
Maschinelle Emotionserkennung in der Mensch-Maschine Interaktion. University of Ulm, Germany, 2019 - 2018
- [j2]Patrick Thiam, Sascha Meudt, Günther Palm, Friedhelm Schwenker:
A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection. Neural Process. Lett. 48(2): 709-732 (2018) - [c21]Venkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker:
Deep Learning Algorithms for Emotion Recognition on Low Power Single Board Computers. MPRSS 2018: 59-70 - 2017
- [p3]Friedhelm Schwenker, Ronald Böck, Martin Schels, Sascha Meudt, Ingo Siegert, Michael Glodek, Markus Kächele, Miriam Schmidt-Wack, Patrick Thiam, Andreas Wendemuth, Gerald Krell:
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. Companion Technology 2017: 387-408 - [p2]Ingo Siegert, Felix Schüssel, Miriam Schmidt, Stephan Reuter, Sascha Meudt, Georg Layher, Gerald Krell, Thilo Hörnle, Sebastian Handrich, Ayoub Al-Hamadi, Klaus Dietmayer, Heiko Neumann, Günther Palm, Friedhelm Schwenker, Andreas Wendemuth:
Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. Companion Technology 2017: 493-500 - 2016
- [j1]Markus Kächele, Martin Schels, Sascha Meudt, Günther Palm, Friedhelm Schwenker:
Revisiting the EmotiW challenge: how wild is it really? J. Multimodal User Interfaces 10(2): 151-162 (2016) - [c20]Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, Günther Palm:
Active Learning for Speech Event Detection in HCI. ANNPR 2016: 285-297 - [c19]Heinke Hihn, Sascha Meudt, Friedhelm Schwenker:
On Gestures and Postural Behavior as a Modality in Ensemble Methods. ANNPR 2016: 312-323 - [c18]Viktor Kessler, Markus Kächele, Sascha Meudt, Friedhelm Schwenker, Günther Palm:
Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain. ANNPR 2016: 324-334 - [c17]Heinke Hihn, Sascha Meudt, Friedhelm Schwenker:
Inferring mental overload based on postural behavior and gestures. ERM4CT@ICMI 2016: 3:1-3:4 - [c16]Dennis Held, Sascha Meudt, Friedhelm Schwenker:
Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes. MPRSS 2016: 12-23 - [c15]Daniel Kindsvater, Sascha Meudt, Friedhelm Schwenker:
Fusion Architectures for Multimodal Cognitive Load Recognition. MPRSS 2016: 36-47 - [c14]Maria Velana, Sascha Gruss, Georg Layher, Patrick Thiam, Yan Zhang, Daniel Schork, Viktor Kessler, Sascha Meudt, Heiko Neumann, Jonghwa Kim, Friedhelm Schwenker, Elisabeth André, Harald C. Traue, Steffen Walter:
The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. MPRSS 2016: 127-139 - [p1]Sascha Meudt, Miriam Schmidt-Wack, Frank Honold, Felix Schüssel, Michael Weber, Friedhelm Schwenker, Günther Palm:
Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction. Toward Robotic Socially Believable Behaving Systems (I) 2016: 73-103 - 2015
- [c13]Sascha Meudt, Friedhelm Schwenker:
ATLAS - Machine learning based annnotation of multimodal data recorded in human-computer interaction scenarios. ISCT 2015: 181-186 - 2014
- [c12]Friedhelm Schwenker, Markus Frey, Michael Glodek, Markus Kächele, Sascha Meudt, Martin Schels, Miriam Schmidt:
A New Multi-class Fuzzy Support Vector Machine Algorithm. ANNPR 2014: 153-164 - [c11]Patrick Thiam, Sascha Meudt, Markus Kächele, Günther Palm, Friedhelm Schwenker:
Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario. ERM4HCI@ICMI 2014: 31-36 - [c10]Sascha Meudt, Friedhelm Schwenker:
Enhanced Autocorrelation in Real World Emotion Recognition. ICMI 2014: 502-507 - [c9]Markus Kächele, Dimitri Zharkov, Sascha Meudt, Friedhelm Schwenker:
Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition. ICPR 2014: 803-808 - [c8]Markus Kächele, Michael Glodek, Dimitri Zharkov, Sascha Meudt, Friedhelm Schwenker:
Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression. ICPRAM 2014: 671-678 - [c7]Markus Kächele, Martin Schels, Sascha Meudt, Viktor Kessler, Michael Glodek, Patrick Thiam, Stephan Tschechne, Günther Palm, Friedhelm Schwenker:
On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction. MA3HMI@INTERSPEECH 2014: 35-44 - [c6]Markus Kächele, Sascha Meudt, Andrej Schwarz, Friedhelm Schwenker:
Audio-Visual User Identification in HCI Scenarios. MPRSS 2014: 113-122 - 2013
- [c5]Sascha Meudt, Michael Glodek, Martin Schels, Friedhelm Schwenker:
Multi-view video based tracking and audio-visual identification of persons in a human-computer-interaction scenario. CYBCONF 2013: 116-121 - [c4]Sascha Meudt, Dimitri Zharkov, Markus Kächele, Friedhelm Schwenker:
Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech. ICMI 2013: 551-556 - 2012
- [c3]Sascha Meudt, Friedhelm Schwenker:
On Instance Selection in Audio Based Emotion Recognition. ANNPR 2012: 186-192 - [c2]Sascha Meudt, Lutz Bigalke, Friedhelm Schwenker:
Atlas - Annotation tool using partially supervised learning and multi-view co-learning in human-computer-interaction scenarios. ISSPA 2012: 1309-1312 - 2010
- [c1]Stefan Scherer, Ingo Siegert, Lutz Bigalke, Sascha Meudt:
Developing an Expressive Speech Labeling Tool Incorporating the Temporal Characteristics of Emotion. LREC 2010
Coauthor Index
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