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={F. H{\"u}lsmann and Jan Philip G{\"o}pfert and B. Hammer and Stefan Kopp and M. Botsch},
  journal={Comput. Graph.},
  year={2018},
  volume={76},
  pages={47-59}
}
  • F. Hülsmann, Jan Philip Göpfert, +2 authors M. Botsch
  • Published 2018
  • Computer Science
  • Comput. Graph.
  • Abstract 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… CONTINUE READING

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