392235 Project: Multimodal Behavior Processing - Projects (see description) (Pj) (WiSe 2024/2025)

Contents, comment

1)
Title: You look stressed so I look stressed? Analysis of Facial Mimicry during a social stress test (TSST)
Description: In interpersonal exchanges, individuals often spontaneously mimic the facial expressions of
others, a phenomenon commonly termed facial mimicry. This project aims to analyze facial mimicry and
empathic stress during the Trier Social Stress Test (TSST). The TSST is considered the gold standard in
human experimental stress research, where participants complete a 5-minute mock job interview and a 5-
minute mental arithmetic task in front of an evaluating committee. Your task is to analyze facial mimicry in
video recordings of participant and committee members during the TSST. The goal is to develop digital
facial mimicry indices that can be further used for analyzing social interactions and prediction stress levels
based on observers' facial expressions & mimicry.

2)
Title: Predicting Breathing Rates from Smartphone Front-Camera Videos of the Digital Stress Test (DST)
Description: In an on-going laboratory study we’re currently using our recently developed Digital Stress
Test (DST) for the induction of psychosocial stress. Participants perform the test with a smartphone while
their faces are recorded via the front-camera. At the same time, we continuously monitor various
physiological signals (i.e., breathing rate, heart rate, blood volume pulse). With this machine learning
project, you will analyze how well breathing rates can be detected based on the front camera videos. You
will explore several pre-existing algorithms for video-based breathing detection, implement and evaluate
them on our dataset. Further, you will implement your own algorithms for predicting breathing rates
based on the experiences with existing algorithms and try to improve their performance.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
by appointment n.V.   07.10.2024-31.01.2025

Hide passed dates <<

Subject assignments

Module Course Requirements  
39-M-Inf-P_ver1 Projekt Projekt Ungraded 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.


No more requirements
No eLearning offering available
Address:
WS2024_392235@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
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_477748044@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Thursday, June 20, 2024 
Last update times:
Thursday, June 20, 2024 
Last update rooms:
Thursday, June 20, 2024 
Type(s) / SWS (hours per week per semester)
project (Pj) / 2
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=477748044
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
477748044