392259 Project: Predicting Breathing Rates from Smartphone Front-Camera Videos of the Digital Stress Test (DST) (Pj) (WiSe 2025/2026)
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In an on-going laboratory study1 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. | 13.10.2025-06.02.2026 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P Projekt | Projekt | Ungraded examination
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Student information |
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- project (Pj) / 2
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- Faculty of Technology
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