Towards real-time profiling of sprints using wearable pressure sensors

Authors:
R. Harle;S. Taherian;M. Pias;G. Coulouris;A. Hopper;J. Cameron;J. Lasenby;G. Kuntze;I. Bezodis;G. Irwin;D. G. Kerwin
Affiliations:
Computer Laboratory, Cambridge University, Cambridge, CB3 0FD, UK;Computer Laboratory, Cambridge University, Cambridge, CB3 0FD, UK;Computer Laboratory, Cambridge University, Cambridge, CB3 0FD, UK;Computer Laboratory, Cambridge University, Cambridge, CB3 0FD, UK;Computer Laboratory, Cambridge University, Cambridge, CB3 0FD, UK;Department of Engineering, Cambridge University, Cambridge, CB2 1PZ, UK;Department of Engineering, Cambridge University, Cambridge, CB2 1PZ, UK;Cardiff School of Sport, UWIC, Cyncoed Campus, Cardiff, CF23 6XD, UK;Cardiff School of Sport, UWIC, Cyncoed Campus, Cardiff, CF23 6XD, UK;Cardiff School of Sport, UWIC, Cyncoed Campus, Cardiff, CF23 6XD, UK;Cardiff School of Sport, UWIC, Cyncoed Campus, Cardiff, CF23 6XD, UK
Venue:
Computer Communications
Year:
2012

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Abstract

On-body sensor systems for sport are challenging since the sensors must be lightweight and small to avoid discomfort, and yet robust and highly accurate to withstand and capture the fast movements associated with sport. In this work, we detail our experience of building such an on-body system for track athletes. The paper describes the design, implementation and deployment of an on-body sensor system for sprint training sessions. We autonomously profile sprints to derive quantitative metrics to improve training sessions. Inexpensive Force Sensitive Resistors (FSRs) are used to capture foot events that are subsequently analysed and presented back to the coach. We show how to identify periods of sprinting from the FSR data and how to compute metrics such as ground contact time. We evaluate our system using force plates and show that millisecond-level accuracy is achievable when estimating contact times.