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).
Required skills
- Python (required)
- machine learning (is a plus)
- ROS (is a plus)
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum |
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Modul | Veranstaltung | Leistungen | |
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39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | unbenotete Prüfungsleistung
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Studieninformation |
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