Yodchanan Wongsawat

Papers

Total Citations

H-Index

About

Yodchanan Wongsawat is a leading researcher in brain-computer interfaces (BCI) and rehabilitation robotics, with a focus on restoring mobility and independence for individuals with severe physical disabilities. His work spans assistive technologies for limb loss, spinal cord injury, and stroke recovery, combining real-time signal processing with robotic systems. Notably, his 2013 paper on a "BCI-based assistive robot arm" (7 citations) introduced a non-invasive brain-controlled prosthesis for people with upper limb absence, offering a practical alternative to traditional myoelectric devices. More recently, his 2024 study on "Unsupervised learning for real-time and continuous gait phase detection" (3 citations) advanced lower-limb rehabilitation by enabling robotic exoskeletons to adapt seamlessly to a user's natural walking rhythm without requiring labeled training data. Wongsawat also explored the use of humanoid robots as surrogate walkers for spinal cord injury patients, as detailed in his 2020 BCI walking substitution work (2 citations). His contributions address critical manpower shortages in rehabilitation therapy while pushing the boundaries of real-time, user-friendly neural control systems. With a career dedicated to translating BCI research into practical assistive devices, Wongsawat continues to shape the future of neurorehabilitation and human-robot interaction.