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

Games for Rehabilitation (96) Games and Gamification for Health (657) Extended Reality, Virtual Reality and Virtual Worlds (572) Innovations in Exercise Rehabilitation (216) Gamification (129) Telerehabilitation (162) Participatory Medicine & E-Patients (787) Stroke (166)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27597, first published .
Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science

Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science

Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science

Authors of this article:

Roni Barak Ventura1 Author Orcid Image ;   Kora Stewart Hughes1 Author Orcid Image ;   Oded Nov2 Author Orcid Image ;   Preeti Raghavan3 Author Orcid Image ;   Manuel Ruiz Marín4, 5 Author Orcid Image ;   Maurizio Porfiri1, 6, 7 Author Orcid Image
Article Authors Cited by (3) Tweetations (10) Metrics

Journals

  1. Tuah N, Goh D, Nasirin S, Ahmedy F, Hossin M. Mapping Data Mining Technique and Gamification Approach for Studying Post-Stroke Rehabilitation Training: A Systematic Literature Review. IEEE Access 2023;11:31323 View
  2. Cunha B, Ferreira R, Sousa A. Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview. Sensors 2023;23(16):7100 View
  3. Moulaei K, Sharifi H, Bahaadinbeigy K, Dinari F. Efficacy of virtual reality-based training programs and games on the improvement of cognitive disorders in patients: a systematic review and meta-analysis. BMC Psychiatry 2024;24(1) View