Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes

@article{Hlsmann2018ClassificationOM,
  title={Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes},
  author={Felix H{\"u}lsmann and Jan Philip G{\"o}pfert and Barbara Hammer and Stefan Kopp and Mario Botsch},
  journal={Computers & Graphics},
  year={2018},
  volume={76},
  pages={47-59}
}
For successful fitness coaching in virtual reality, movements of a trainee must be analyzed in order to provide feedback. To date, most coaching systems only provide coarse information on movement quality. We propose a novel pipeline to detect a trainee’s errors during exercise that is designed to automatically generate feedback for the trainee. Our pipeline consists of an online temporal warp of a trainee’s motion, followed by Random-Forest-based feature selection. The selected features are… CONTINUE READING
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