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

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
  4. Abdul-Rahman G, Zwitter A, Haleem N. A systematic literature review on the role of artificial intelligence in citizen science. Discover Artificial Intelligence 2025;5(1) View
  5. Latif U, Georgiev G. CKATool: A clinical kinematic analysis toolbox for upper limb rehabilitation. Computational and Structural Biotechnology Journal 2025;28:330 View
  6. León-Domínguez U. Towards an artificial intelligence clinical decision-support system based on immersive virtual reality for neurocognitive assessment. Ergonomics 2025:1 View