Yafei Zhao

Papers

Total Citations

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About

Yafei Zhao is a pioneering researcher at the intersection of biomechanics, wearable robotics, and human–machine interaction. Her work focuses on developing intelligent assistive technologies to enhance mobility and quality of life for aging populations. Zhao’s most cited study, “Detection of Human Action Intention by Electromyography (EMG)” (2022, 6 citations), introduces a novel framework for decoding skeletal muscle signals to predict user intent, enabling more responsive and intuitive control of wearable robots. Building on this, her 2023 paper “Improving Human Balance with Wearable Devices” (3 citations) leverages optical-based balance sensors and muscle-mimetic robotic systems to assess and enhance postural stability. By analyzing data from 149 subjects, Zhao identified critical temporal and frequential balance features, offering a data-driven pathway to fall prevention. Her contributions are foundational to the next generation of exoskeletons and rehabilitation devices, bridging the gap between human physiology and robotic assistance. With a growing citation footprint, Zhao is shaping how wearable technologies can proactively support elderly individuals, making her a key voice in gerontechnology and assistive robotics.