Mei-Hua Lee
Papers
4
Total Citations
49
H-Index
4
About
Mei-Hua Lee is a leading researcher in the development of body-machine interfaces (BoMI) for children with severe motor impairments. Her work focuses on creating non-invasive, intuitive control systems that allow young users to operate assistive robotic devices using natural body movements—such as head gestures or upper-body motions—rather than invasive brain implants. Lee’s major contributions include demonstrating that children can learn to control robotic arms and virtual platforms through these interfaces, with studies showing age-dependent learning differences and the feasibility of wireless head-joystick control for functional tasks. Her most cited paper (2019, 19 citations) characterizes how children learn BoMI control, while her 2017 work (13 citations) introduced a five-degree-of-freedom system tailored for pediatric users. A notable case study (2020, 13 citations) showcased a child with congenital limb absence successfully performing daily tasks using a head-joystick. Lee’s research has profound implications for pediatric rehabilitation, offering safe, accessible pathways to independence. Her recent 2024 work on a virtual robotic platform continues to push boundaries, promising scalable training tools for assistive device control.
Research Focus
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Top Papers
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