392117 Multimodal Behavior Processing: Affective Signals (V) (WiSe 2025/2026)
Short comment
- Basic coding skills in Python are highly recommended.
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.
Requirements for participation, required level
-
Basic coding skills in Python are highly recommended.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 12-14 | CITEC 1.204 | 13.10.2025-06.02.2026 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-AI-app Applied Artificial Intelligence | Applied Artificial Intelligence: Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-M-Inf-INT-app Applied Interaction Technology | Applied Interaction Technology: Vorlesung | Student information | |
| - | Graded examination | Student information | |
| 39-M-Inf-MBP Multimodal Behavior Processing | Multimodal Behavior Processing | Ungraded examination
Graded examination |
Student information |
| 39-Mewi-HM42 Medien- und Informationsverarbeitungstechnologien | Einführende Vorlesung zu Thema 1 | Student information | |
| Einführende Vorlesung zu Thema 2 | Study requirement
|
Student information | |
| Einführende Vorlesung zu Thema 3 | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Veranstaltungen für Schülerinnen und Schüler | Die Anmeldung zum Schnupperstudium erfolgt über die Junge Uni per E-Mail an: dop@uni-bielefeld.de |
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- WS2025_392117@ekvv.uni-bielefeld.de
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- Notes:
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- Last update basic details/teaching staff:
- Friday, October 17, 2025
- Last update times:
- Thursday, August 14, 2025
- Last update rooms:
- Thursday, August 14, 2025
- 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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