Development and Assessment of a Soft Wearable for sEMG-Based Hand Grip Detection and Control of a Virtual Environment
The results of this study demonstrate that our VRGrip system could be used for hand grip detection in a virtual environment. In the future, we aim to conduct longitudinal studies to determine if repeated use of the system has merit for grip rehabilitation.
Authors
- Sabrina Zhong
- Neeru Bhagat (ORCID: https://orcid.org/0000-0002-9943-5439)
- Fabian Alonso Lara Vargas
- Kunal Mankodiya (ORCID: https://orcid.org/0000-0001-6423-0823)
- Dhaval Solanki (ORCID: https://orcid.org/0000-0003-4039-4406)
- Lohith Chatragadda
- Aiden Fletcher
- Matthew J. Delmonico (ORCID: https://orcid.org/0000-0002-8170-1524)
Institutions
- University of Rhode Island (US)
Publication Details
- Journal
- Sensors
- Published
- 2025-04-12
- DOI
- https://doi.org/10.3390/s25082431
- Citations
- 2
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35