Volume 14, Issue 4 • April 30, 2026
Wearable EMG Gesture Classification for Introductory Assistive Interfaces
Open access • Peer reviewed • CC BY-NC-SA 4.0
Priya Nair (Author) ORCID
Biomedical EngineeringMachine LearningSignal Processing
Abstract
This work evaluates a low-cost wearable EMG band for classifying hand gestures in student assistive-interface projects. A compact classifier achieved robust performance on five gestures with minimal calibration time.
Citation
Priya Nair (2026). Wearable EMG Gesture Classification for Introductory Assistive Interfaces. Journal of Young Scientists & Engineers, 14(4). https://doi.org/10.35940/jyse.BME.2026.140608
Identifiers
Access
This article is available with open access and permanent identifier links for citation and discovery.
• ISSN 2319-6378 (Online)