Instrumented Skeleton Sled
Focussing on Data Processing and User Interface
A.W.G. Hunter (TU Delft - Electrical Engineering, Mathematics and Computer Science)
T. Moree (TU Delft - Electrical Engineering, Mathematics and Computer Science)
P. J. French – Mentor (TU Delft - Electronic Instrumentation)
Zaid Al-Ars – Graduation committee member (TU Delft - Computer Engineering)
B. Gholizad – Graduation committee member (TU Delft - DC systems, Energy conversion & Storage)
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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.