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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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Authors and Affiliations
Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA
Moeen Mostafavi, Fateme Nikseresht, Laura Barnes & Mehdi Boukhechba
Department of Kinesiology, University of Virginia, Charlottesville, VA, USA
Jacob Earl Resch
- Moeen Mostafavi
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- Fateme Nikseresht
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- Jacob Earl Resch
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- Laura Barnes
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- Mehdi Boukhechba
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Correspondence toMoeen Mostafavi.
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Editors and Affiliations
Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA
Tareq Z. Ahram
Doctorate Researcher in Design, Recife-PE, Brazil
Christianne S. Falcão
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Mostafavi, M., Nikseresht, F., Resch, J.E., Barnes, L., Boukhechba, M. (2021). Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_47
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