R. Cavalcante, Aya Gaballa, J. Cabibihan, A. Soares, E. Lamounier
{"title":"VR Serious Game for Myoelectric Prosthesis Training with Tactile Feedback","authors":"R. Cavalcante, Aya Gaballa, J. Cabibihan, A. Soares, E. Lamounier","doi":"10.5753/svr_estendido.2022.227938","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":108337,"journal":{"name":"Anais Estendidos do XXIV Simpósio de Realidade Virtual e Aumentada (SVR Estendido 2022)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais Estendidos do XXIV Simpósio de Realidade Virtual e Aumentada (SVR Estendido 2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/svr_estendido.2022.227938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.