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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 7, 2019.
Abstract: Getting injured is one of the most devastating and dangerous challenges that an athlete can go through and if it is a big injury it could end his/her athletic career. In this paper, we propose a system to automate the idea of coaching an athlete, by using an IR Camera (Microsoft Kinect Xbox 360) to detect the misplaced joints of the athlete while doing the lift, and alerting the athlete before an injury can occur. We are now able to detect if the lift was correct or wrong and to detect what kind of mistake has been done in the lift by the athlete by using the Fast Dynamic time warping (FastDTW) method. The FastDTW method has outperformed other classification methods and can achieve recognition with 100% accuracy for dependent user movements.
Ammar Yasser, Doha Tariq, Radwa Samy, Mennat Allah Hassan and Ayman Atia, “Smart Coaching: Enhancing Weightlifting and Preventing Injuries” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100789
@article{Yasser2019,
title = {Smart Coaching: Enhancing Weightlifting and Preventing Injuries},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100789},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100789},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Ammar Yasser and Doha Tariq and Radwa Samy and Mennat Allah Hassan and Ayman Atia}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.