Instrumented Skeleton Sled

Focussing on Data Processing and User Interface

Bachelor thesis (2019)

Authors

A.W.G. Hunter Electrical Engineering, Mathematics and Computer Science
T. Moree Electrical Engineering, Mathematics and Computer Science

Contributors

P.J. French Electronic Instrumentation - EEMCS (mentor)
Z. Al-Ars Computer Engineering - EEMCS (graduation committee member)
B. Gholizad DC systems, Energy conversion & Storage - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 William Hunter, Tijs Moree
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Published Date

03-07-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This report details the design of an instrumentation system to be used on a skeleton sled. The system will measure several quantities on a skeleton track for the athlete to learn from. This data is stored during the run using several sensors on the sled and processed and visualised immediately afterwards on a mobile device. The project is tailor-made for skeleton athlete Akwasi Frimpong: he requested a way to get some insight in his steering using his knees and shoulders and its results on his achievements. This thesis focuses on the data processing, communication and visualisation of the data and the software integration of all sensors. The communication is done using Wi-Fi and the visualisation is realised with a web page. The whole system is implemented with an ESP32 microprocessor which functions as a Wi-Fi access point and web server for the user interface.