392117 Multimodal Behavior Processing: Affective Signals (V) (WiSe 2024/2025)

Contents, comment

The lecture is dedicated to the multimodal analysis of human behavior. The focus is on the interpretation of affective signals, due to their high relevance for human-computer interactions. Different modalities of affective expression will be presented (e.g., movements, facial expressions, voice, physiological responses) and discussed with respect to their meaning and interpretation. In the context of different methods of sound and video analysis, different approaches are presented to computationally evaluate and interpret these signals. Besides the processing of multimodal signals, one topic will be the fusion of multimodal signals. Based on different use cases of social signal analysis, the potential but also the limits and risks of social signal processing will be explained.

We offer a corresponding tutorial with the lecture, in which you will implement some of the methods presented in the lecture. It is highly recommended taking lecture and tutorial during the same semester.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Do 10-12 CITEC 1.015 07.10.2024-31.01.2025

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Subject assignments

Module Course Requirements  
39-Inf-WP-MC Media Computing (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-MC-x Media Computing (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
- Graded examination Student information
39-M-Inf-AI-adv-foc_ver1 Advanced Artificial Intelligence (focus) Advanced Artificial Intelligence (focus): Vorlesung Student information
Advanced Artificial Intelligence (focus): Übung Student information
39-M-Inf-INT-adv-foc_ver1 Advanced Interaction Technology (focus) Advanced Interaction Technology (focus): Vorlesung Student information
Advanced Interaction Technology (focus): Übung Student information
39-M-Inf-MBP Multimodal Behavior Processing Multimodal Behavior Processing Ungraded examination
Graded examination
Student information

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WS2024_392117@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Thursday, June 20, 2024 
Last update times:
Friday, July 26, 2024 
Last update rooms:
Friday, July 26, 2024 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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477744673