Published on in Vol 9, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20916, first published .
A Depth Camera–Based, Task-Specific Virtual Reality Rehabilitation Game for Patients With Stroke: Pilot Usability Study

A Depth Camera–Based, Task-Specific Virtual Reality Rehabilitation Game for Patients With Stroke: Pilot Usability Study

A Depth Camera–Based, Task-Specific Virtual Reality Rehabilitation Game for Patients With Stroke: Pilot Usability Study

Journals

  1. Lv Z, Guo J. Virtual Reality Neurorehabilitation. International Journal of Mental Health Promotion 2022;24(3):287 View
  2. Mushhood Afsar M, Saqib S, Yasin Ghadi Y, A. Alsuhibany S, Jalal A, Park J. Body Worn Sensors for Health Gaming and e-Learning in Virtual Reality. Computers, Materials & Continua 2022;73(3):4763 View
  3. Nunes M, Teles A, Farias D, Diniz C, Bastos V, Teixeira S. A Telemedicine Platform for Aphasia: Protocol for a Development and Usability Study. JMIR Research Protocols 2022;11(11):e40603 View
  4. Sun X, Ding J, Dong Y, Ma X, Wang R, Jin K, Zhang H, Zhang Y. A Survey of Technologies Facilitating Home and Community-Based Stroke Rehabilitation. International Journal of Human–Computer Interaction 2023;39(5):1016 View
  5. Afsar M, Saqib S, Aladfaj M, Alatiyyah M, Alnowaiser K, Aljuaid H, Jalal A, Park J. Body-Worn Sensors for Recognizing Physical Sports Activities in Exergaming via Deep Learning Model. IEEE Access 2023;11:12460 View
  6. Nair B, Sakthivel N. A Deep Learning-Based Upper Limb Rehabilitation Exercise Status Identification System. Arabian Journal for Science and Engineering 2023;48(2):1237 View
  7. Shen J, Gu X, Fu J, Yao Y, Li Y, Zeng M, Liu Z, Lu C. Virtual reality-induced motor function of the upper extremity and brain activation in stroke: study protocol for a randomized controlled trial. Frontiers in Neurology 2023;14 View
  8. Martins T, Carvalho V, Soares F, Leão C. Physioland: a motivational complement of physical therapy for patients with neurological diseases. Multimedia Tools and Applications 2024;83(4):12035 View
  9. Lim D, Pei W, Lee J, Musselman K, Masani K. Feasibility of using a depth camera or pressure mat for visual feedback balance training with functional electrical stimulation. BioMedical Engineering OnLine 2024;23(1) View
  10. Sun W, Hsu Y, Liu Y, Tien C, Su Y, Tsai S, Sun C. Optical lens optimization design and tolerance analysis for a depth camera. Optik 2024;302:171711 View
  11. Pan H, Wang H, Li D, Zhu K, Gao Y, Yin R, Shull P. Automated, IMU-based spine angle estimation and IMU location identification for telerehabilitation. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  12. Baklouti S, Chaker A, Rezgui T, Sahbani A, Bennour S, Laribi M. A Novel IMU-Based System for Work-Related Musculoskeletal Disorders Risk Assessment. Sensors 2024;24(11):3419 View
  13. Zhang C, Yu S. The Technology to Enhance Patient Motivation in Virtual Reality Rehabilitation: A Review. Games for Health Journal 2024;13(4):215 View
  14. Xie W, Xu C, Gong Y, Wang Y, Liu Y, Zhang J, Zhang Q, Zheng Z, Yang S. DeepBreath: Breathing Exercise Assessment with a Depth Camera. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(3):1 View
  15. Maxim R, Arnedo-Moreno J. Identifying Key Principles and Commonalities in Digital Serious Game Design Frameworks: Scoping Review. JMIR Serious Games 2025;13:e54075 View
  16. Felsberg D, Pousti R, Howard C, Ross S, Raisbeck L, McGuirt J, Rhea C. The Landscape of Virtual Reality Use in Mobility Rehabilitation from 2010–2023: A Scoping Review. Technologies 2025;13(5):167 View

Books/Policy Documents

  1. Rito D, Pinheiro C, Figueiredo J, Santos C. Robotics in Natural Settings. View
  2. Jindal S, Chaudhary S, Sharma S, Rani M, Bajaj S. Metaverse Technologies, Security and Applications for Healthcare. View

Conference Proceedings

  1. Xu Z. 2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). Design of Cancer Detection System Based on CNN Model and Virtual Reality with NLP Voice Output View
  2. Jin S, Li J. 2021 2nd International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). Tacotron Model and CNN in Virtual Reality for Cancer Diagnosis and Communication between Doctors and Patients View
  3. Gavrila V, Bajenaru L, Tomescu M, Dobre C. 2021 International Conference on e-Health and Bioengineering (EHB). Medical Rehabilitation System Based on Depth Camera: vINCI study View
  4. Tsai S, Sun W, Sun C, Su Y, Yu J. 2022 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). 1-Megapixel Depth Camera Lens Design and Analysis for a Fixed Lens with Object Distance from 0.55 m to 10 m View
  5. Shaikh A, Merilampi S, Xiao R, Jabari S, Buruk O, Hamari J, Virkki J. 2024 IEEE International Conference on RFID Technology and Applications (RFID-TA). RFID Toolkit for Customizable Game Controlling View