Xiaochi He

Papers

Total Citations

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About

Xiaochi He has made significant contributions to the field of wearable robotics and human motion analysis, with a particular focus on lower limb exoskeleton systems. Their key research areas include inertial measurement unit (IMU)-based motion attitude acquisition and motion recognition, addressing critical challenges in human-robot interaction. He’s most cited work, "Research on IMU-Based Motion Attitude Acquisition and Motion Recognition" (2024, 13 citations), tackles the pressing issue of individual motion feature recognition in exoskeleton applications. By developing methods to accurately capture and interpret human movement through IMU sensors, He has advanced the practical deployment of assistive robotic technologies. This research is particularly impactful for rehabilitation engineering and industrial exoskeletons, where personalized motion recognition is essential for safe and effective human-robot collaboration. He’s work demonstrates a strong commitment to bridging sensor technology with real-world robotic applications, laying groundwork for more adaptive and responsive exoskeleton systems that can better accommodate individual user movement patterns.