392116 Multimodal Behavior Processing: Affective Signals (V) (SoSe 2023)
Contents, comment
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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 |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-MBP Multimodal Behavior Processing | Multimodal Behavior Processing | Ungraded examination
Graded examination |
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.
E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 28
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2023_392116@ekvv.uni-bielefeld.de
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- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_395414864@ekvv.uni-bielefeld.de
- Coverage:
- 28 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, June 22, 2023
- Last update times:
- Wednesday, July 12, 2023
- Last update rooms:
- Wednesday, July 12, 2023
- Type(s) / SWS (hours per week per semester)
- V / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=395414864
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- ID
- 395414864