Research Project
Sensing Platform For Flexible Strain Sensors And Human Motion Recognition
This study aims to develop an integrated sensing platform for flexible strain sensors and human motion recognition. Addressing the limitations of conventional rigid sensors—such as poor compliance, low biocompatibility, and failure under large strains—this project proposes to develop flexible components with high sensitivity, high extensibility, and long-term cyclic stability by optimizing conductive material formulations and flexible substrate manufacturing processes. In the future, by precisely capturing human joint movements, muscle activity, and gait characteristics, and integrating these with AI deep learning algorithms, a safe human-machine interaction system with real-time perception and intelligent feedback capabilities can be established. These advancements are expected to be effectively applied in fields such as smart medical rehabilitation, wearable exoskeletons, and elderly care, providing critical technical support for next-generation precision rehabilitative medicine.