Stretchable and Biocompatible Electrode Array Integrated with Bio-Interface Chip for Real-Time Hand Gesture Classification
발표자
김태권 (부산대학교)
연구책임자
심현석 (부산대학교)
초록
내용
Conventional human-machine interfaces (HMIs) relying on physical contact-such as keyboards and touchscreens-pose significant limitations in hands-free applications and for individuals with physical impairments. To overcome these constraints, we present an integrated bio-interface system that enables real-time hand gesture recognition through electromyography (EMG) signals acquired from the user’s forearm. The system integrates a stretchable, biocompatible electrode array with a custom-designed bio-interface chip to enable the classification of multi-class hand gestures with 94.4% accuracy and demonstrates its practical utility through a real-time calculator application operated entirely by sequential gesture input. This work highlights not only the advances in integrated bioelectronic systems for bioelectrical signal processing and pattern recognition, but also the potential of next-generation HMIs for intuitive, accessible, and practically deployable human-machine interaction.