Papers
4
Total Citations
47
H-Index
3
About
Ja-Ho Leigh is a leading researcher at the intersection of assistive robotics and neural engineering, with a primary focus on developing brain–machine interfaces (BMI) for robotic arm control. His work addresses the critical gap between technological capability and real-world user needs, particularly for individuals with tetraplegia and cervical spinal cord injury. Leigh’s most-cited study (2019, 20 citations) investigated practical demands for external robotic arms versus upper limb exoskeletons, revealing essential user requirements for activities of daily living. He further demonstrated clinical impact by implementing a vision-aided BMI training system that enabled two patients with spinal cord injury to control a robotic arm using noninvasive neural signals (2019, 20 citations). His qualitative research (2022, 5 citations) explored user perspectives on BMI-controlled robotic arms, emphasizing the importance of integrating patient feedback into device development. Leigh’s contributions bridge engineering and human factors, advancing noninvasive and less-invasive technologies for assistive robotics. His work is foundational for creating practical, user-centered neural interfaces that restore independence and quality of life for people with severe motor impairments.
Research Focus
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