392276 ISY Project: Evaluation of a Musical Rhythm Training Tool (Pj) (SoSe 2023)
Contents, comment
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Slacklining is a complex skill. It needs to be learned during multiple practice sessions. In this project we will build a sensor infrastructure based on IMUs, and record movement data from expert slackliners and novices. We will 1) build a system that predicts the stability markers based on the sensor measurements, 2) compares factors that characterize experts and novices, 3) and analyse what practice modes improve the technique the fastest.
In case the proposal would not attract enough students for a team project, it can be adapted into an individual project or a project for two students (tandem project).
Requirements for participation, required level
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Required skills
- Python (required)
- machine learning (is a plus)
- ROS (is a plus)
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| block | Block | 03.04.-14.07.2023 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded examination
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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.
- Registered number: 2
- 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_392276@ekvv.uni-bielefeld.de
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- Coverage:
- 2 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Monday, April 17, 2023
- Last update times:
- Friday, February 3, 2023
- Last update rooms:
- Friday, February 3, 2023
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=403157027
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- ID
- 403157027