Ningguang Yao

University of Science and Technology of China

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Total Citations

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About

Ningguang Yao is a researcher at the forefront of rehabilitation robotics and human motion analysis, with a focus on developing intelligent systems to restore mobility for individuals with gait impairments. Her work centers on two critical challenges: accurately detecting human gait phases and generating adaptive, symmetric movement patterns for robotic orthoses. In her highly cited 2022 paper, Yao introduced a novel gait phase recognition algorithm that fuses multi-source sensor data, achieving robust detection essential for precise exoskeleton control. This foundational work has garnered 8 citations, reflecting its impact on the field. Building on this, her 2023 study on an adaptive symmetry reference trajectory generation method for active knee orthoses represents a significant leap forward. By leveraging motion data from a patient’s unaffected limb to guide the affected side, Yao’s shared autonomy framework enables more natural, personalized rehabilitation. This approach directly addresses the needs of hemiplegic patients, offering a pathway to improved gait symmetry and functional recovery. With her innovative fusion of sensing and control, Yao is shaping the next generation of assistive technologies.