ARCHIVES

[1]. Home-Based Physical Therapy with an Interactive Computer Vision System. Yiwen Gu; Shreya Pandit; Elham Saraee; Timothy
Nordahl; Terry Ellis; MargritBetke.
[2]. Cyber-Physiotherapy: Rehabilitation to Training Ishan Ranasinghe, Ram Dantu, Mark V. Albert, Sam Watts, Ruben Ocana.
[3]. A review of computer vision-based approaches for physical rehabilitation and assessment Bappaditya Debnath, Mary O’Brian,
Motonori Yamaguchi & Ardhendu Behera.
[4]. Lee, Jaehyun, et al. "Automatic classification of squat posture using inertial sensors: Deep learning approach." Sensors 20.2 (2020):361.
[5]. Chen, Steven, and Richard R. Yang. "Pose Trainer: correcting exercise posture using pose estimation." arXiv preprint
arXiv:2006.11718 (2020).
[6]. Militaru, Cristian, Maria-DenisaMilitaru, and KudernaIulianBenta. "Physical Exercise Form Correction Using Neural Networks."
Companion Publication of the 2020 International Conference on Multimodal Interaction. 2020.
[7]. Nishani, Eralda, and BetimÇiço. "Computer vision approaches based on deep learning and neural networks: Deep neural networks for video analysis of human pose.
[8]. Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping.
[9]. Informatics Bulletin, Faculty of Computers and Artificial Intelligence, Helwan University Published Online Vol 2 Issue 2, October
2020.