Huiying Zhou
Papers
9
Total Citations
234
H-Index
7
About
Huiying Zhou is pioneering the intersection of robotics, artificial intelligence, and healthcare, with a primary focus on developing intuitive teleoperation systems for home care and human-robot collaboration. Her research centers on creating seamless interfaces between humans and robots through inertial motion capture, wearable sensor gloves, and deep learning-based pose estimation—enabling remote dementia care and elderly assistance with unprecedented naturalness and precision. Zhou’s most influential work, “Teleoperation of Collaborative Robot for Remote Dementia Care in Home Environments” (61 citations), demonstrates how robotic teleoperation can transform care delivery for chronic, progressive diseases. Her attention-based deep learning approach for inertial motion recognition (53 citations) and IoT-enabled dual-arm motion capture system (53 citations) have set benchmarks in the field. More recently, her concept of Human Motion Digital Twin (HMDT) (27 citations) advances human-centric applications by creating digital replicas of human motion. Zhou’s international collaborations, including the China–Sweden teleoperation project, highlight her global impact. With over 230 total citations, she is shaping the future of healthcare robotics—making remote, intuitive, and dignified care a tangible reality for aging populations worldwide.
Research Focus
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Top Papers
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