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

Biomechanics (8) Emerging Technologies for Rehabilitation (270) Innovations in Exercise Rehabilitation (216) Computational modeling of biological processes (12) Development of Novel Medical Devices and Innovations for Existing Devices (83)

Published on in Vol 4, No 1 (2019): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12291, first published .
Determining the Accuracy of Oculus Touch Controllers for Motor Rehabilitation Applications Using Quantifiable Upper Limb Kinematics: Validation Study

Determining the Accuracy of Oculus Touch Controllers for Motor Rehabilitation Applications Using Quantifiable Upper Limb Kinematics: Validation Study

Determining the Accuracy of Oculus Touch Controllers for Motor Rehabilitation Applications Using Quantifiable Upper Limb Kinematics: Validation Study

Authors of this article:

Leia C Shum1 Author Orcid Image ;   Bulmaro A Valdés1 Author Orcid Image ;   HF Machiel Van der Loos1 Author Orcid Image
Article Authors Cited by (19) Tweetations (6) Metrics

Journals

  1. Shum L, Valdes B, Hodges N, Van der Loos H. Error Augmentation in Immersive Virtual Reality for Bimanual Upper-Limb Rehabilitation in Individuals With and Without Hemiplegic Cerebral Palsy. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2020;28(2):541 View
  2. Bauer P, Lienhart W, Jost S. Accuracy Investigation of the Pose Determination of a VR System. Sensors 2021;21(5):1622 View
  3. Salisbury J. Using Medical Device Standards for Design and Risk Management of Immersive Virtual Reality for At-Home Therapy and Remote Patient Monitoring. JMIR Biomedical Engineering 2021;6(2):e26942 View
  4. Prieto Prada J, Im J, Oh H, Song C, Ranzani T. Enhanced location tracking in sensor fusion-assisted virtual reality micro-manipulation environments. PLOS ONE 2021;16(12):e0261933 View
  5. Tsaramirsis G, Kantaros A, Al-Darraji I, Piromalis D, Apostolopoulos C, Pavlopoulou A, Alrammal M, Ismail Z, Buhari S, Stojmenovic M, Tamimi H, Randhawa P, Patel A, Khan F, Abbassi R. A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management. Journal of Sensors 2022;2022:1 View
  6. Barak Ventura R, Stewart Hughes K, Nov O, Raghavan P, Ruiz Marín M, Porfiri M. Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science. JMIR Serious Games 2022;10(1):e27597 View
  7. Schuetz I, Karimpur H, Fiehler K. vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platform. Behavior Research Methods 2022;55(2):570 View
  8. Rojo A, Cortina J, Sánchez C, Urendes E, García-Carmona R, Raya R. Accuracy study of the Oculus Touch v2 versus inertial sensor for a single-axis rotation simulating the elbow’s range of motion. Virtual Reality 2022;26(4):1651 View
  9. Balaji A, Kimber C, Li D, Wu S, Du R, Kim D. RetroSphere. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(4):1 View
  10. Carnevale A, Mannocchi I, Sassi M, Carli M, De Luca G, Longo U, Denaro V, Schena E. Virtual Reality for Shoulder Rehabilitation: Accuracy Evaluation of Oculus Quest 2. Sensors 2022;22(15):5511 View
  11. Choi I, Zhao Y, Gonzalez E, Follmer S. Augmenting Perceived Softness of Haptic Proxy Objects Through Transient Vibration and Visuo-Haptic Illusion in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics 2021;27(12):4387 View
  12. Wang K, Tan D, Li Z, Sun Z. Supporting Tremor Rehabilitation Using Optical See-Through Augmented Reality Technology. Sensors 2023;23(8):3924 View
  13. Jachak S, Raghuveer R. Therapeutic effectiveness of virtual reality-based exercise through Oculus Quest 2 on balance, dizziness, nystagmus, and quality of life in patients with posterior canal benign paroxysmal positional vertigo - a randomized control trial protocol. F1000Research 2023;12:1109 View
  14. Pelosi A, Roth N, Yehoshua T, Itah D, Braun Benyamin O, Dahan A. Personalized rehabilitation approach for reaching movement using reinforcement learning. Scientific Reports 2024;14(1) View