VR Serious Game for Myoelectric Prosthesis Training with Tactile Feedback

  • Reidner Santos Cavalcante UFU
  • Aya Gaballa Qatar University
  • John-John Cabibihan Qatar University
  • Alcimar Soares UFU
  • Edgard Lamounier UFU


In recent years, Virtual Reality (VR) applications have attracted increasing attention for preparing amputees to properly use a prosthesis. In this paper, we propose an SG-based system that uses immersive Virtual Reality (iVR) and EMG signal processing to provide a training environment for amputees who are supposed to use myoelectric prostheses. This type of prosthesis requires a more complex control system. The system described in this paper runs on a Vive Pro System using a Vive Tracker to track the user's arm position and orientation and mirror the movement into a virtual prosthesis. EMG signals control the opening and closing of the virtual prosthesis, and vibrational elements placed on the user's forearm provide sensory feedback. The proposed system acts as a useful therapeutic tool for amputee rehabilitation. Our results show that virtual training can be greatly improved when proper tactile feedback is provided, especially for myoelectric controlled prostheses.

Palavras-chave: Tactile feedback, Immersive Virtual Reality, myoelectric prosthesis, prosthetic training


Global Lower Extremity Amputation Study Group. Epidemiology of lower extremity amputation in centres in Europe, North America and East Asia. The Global Lower Extremity Amputation Study Group. Br J Surg.; 87(3):328-37. PMid: 10718803, 2000.

J. M. Churko, A. Mehr, A. G. Linassi, and A. Dinh, "Sensor evaluation for tracking upper extremity prosthesis movements in a virtual environment," in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, 2009, vol. 2009, pp. 2392-2395.

M. Melero et al., "Upbeat: Augmented Reality-Guided Dancing for Prosthetic Rehabilitation of Upper Limb Amputees," J. Healthc. Eng., vol. 2019, 2019.

David Kosiur. 2001. Understanding Policy-Based Networking (2nd. ed.). Wiley, New York, NY..
Como Citar

Selecione um Formato
CAVALCANTE, Reidner Santos; GABALLA, Aya; CABIBIHAN, John-John; SOARES, Alcimar; LAMOUNIER, Edgard. VR Serious Game for Myoelectric Prosthesis Training with Tactile Feedback. In: XR EXPERIENCE - SIMPÓSIO DE REALIDADE VIRTUAL E AUMENTADA (SVR), 24. , 2022, Natal/RN. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 22-23. DOI: https://doi.org/10.5753/svr_estendido.2022.227938.