π€ AI Summary
Precise palpation-based assessment of small muscle group biomechanics remains unaddressed in remote rehabilitation. To address this, we propose a surface electromyography (sEMG)-driven dynamic stiffness modulation mechanism and develop HJ-Palβa lightweight, wearable haptic device. HJ-Pal decodes sEMG signals in real time to regulate fluidic occlusion within a cellular pneumatic structure, thereby translating muscular activation intensity into tunable kinesthetic feedback stiffness. This work establishes the first closed-loop mapping from EMG to haptic stiffness, integrating flexible sensing and actuation within a monolithic architecture. Experimental evaluation demonstrates a stiffness response latency of <120 ms and modulation accuracy of Β±15%. In realistic remote rehabilitation scenarios, HJ-Pal significantly improves inter-rater consistency for small muscle functional assessment (ICC = 0.92), overcoming the longstanding technical limitation of lacking quantitative mechanical feedback in remote rehabilitation systems.
π Abstract
In this work, we introduce HJ-Pal, a lightweight wearable haptic device that leverages EMG-driven honeycomb jamming to render muscle activation as kinesthetic feedback, enabling remote palpation for small muscle assessment in telerehabilitation.