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arXiv · 2102.03453

Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback

Moeen Mostafavi·Fateme Nikseresht·Jacob Earl Resch·Laura Barnes·Mehdi Boukhechba
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Abstract

American football is a leading sport for contact-related injuries such as cervical spine injuries, some of which result from an unforeseen hit. The use of a feedback mechanism to alert an athlete of a potential hit may mitigate the risk for sport-related concussion and catastrophic injury by allowing athletes to effectively brace for an otherwise unforeseen impact. In this project, we created a proximity sensor system using radio frequency identification (RFID) technology to send haptic feedback to the wearer before a potential impact. Our pilot test consisted of three participants who wore our novel sensor system, who ran simulated routes to represent player-to-player contact. Additionally, we used simulated data from a Network Live Football (NFL) league game to further validate our contact prediction algorithm. Results show that our method can predict players' collisions with less than 14% false-alarms.

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Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura Barnes, Mehdi Boukhechba. 2021-02-06. Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. https://arxiv.org/abs/2102.03453

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