392284 ISY Project: Human Action Recognition using Spiking Neural Networks (Pj) (SoSe 2022)
Contents, comment
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Short description:
Motivation: Event-based signaling and processing promise increased energy efficiency (human brain as paragon).
Goal: Exploring and designing spiking neural network models for increasing the efficiency of the Human Activity Recognition task. Used Methods are:• Use the DAVIS346 Human Action Recognition Dataset to train the SNN.
• Explore and design SNN models.
• Set up a demonstrator using a DVS camera.
Required skills:
• Python,
• Deep Learning,
• Computer Vision
In case this would not find enough interest for a team project, this project proposal would be also offered (in reduced/modified form)
• an individual project
• a project for only 2 students
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded examination
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Student information |
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- Address:
- SS2022_392284@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, August 19, 2022
- Last update times:
- Wednesday, February 9, 2022
- Last update rooms:
- Wednesday, February 9, 2022
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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