This paper is in the following e-collection/theme issue:

Innovations in Exercise Rehabilitation (172) Machine Learning (950) Exergames, Active Games and Gamification of Physical Activity (137)

Published on in Vol 7 , No 2 (2020) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17289, first published .
Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers

Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers

Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers

Authors of this article:

Reza Haghighi Osgouei 1 Author Orcid Image ;   David Soulsby 2 Author Orcid Image ;   Fernando Bello 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics
Reza Haghighi Osgouei 1 , PhD ;   David Soulsby 2 , BSc ;   Fernando Bello 1 , PhD

1 Imperial College Centre for Engagement and Simulation Science (ICCESS) , Faculty of Medicine, Department of Surgery and Cancer , Imperial College London , London , GB

2 Children's Services and Dietetics , Chelsea and Westminster Hospital , London , GB

Corresponding Author:

  • Reza Haghighi Osgouei, PhD
  • Imperial College Centre for Engagement and Simulation Science (ICCESS)
  • Faculty of Medicine, Department of Surgery and Cancer
  • Imperial College London
  • Room H.3.8, ICCESS, Chelsea and Westminster
  • 369 Fulham Road
  • London
  • GB
  • Phone: 44 940419331
  • Email: r.haghighi-osgouei@imperial.ac.uk