Yoshinori Furukawa
Papers
1
Total Citations
7
H-Index
1
About
Yoshinori Furukawa is a leading researcher in neurorehabilitation robotics, with a focus on developing intelligent, patient-responsive systems for post-stroke motor recovery. His work centers on the real-time processing of surface electromyography (EMG) signals to decode human motion intentions, enabling intuitive control of robotic exoskeletons for hand rehabilitation. His most cited paper (2023, 7 citations) introduces a novel approach using a One-Class Support Vector Machine (OneClassSVM) to extract motion intentions from EMG data, overcoming challenges of complex signal variability. This contribution is pivotal for creating adaptive, patient-specific therapy robots that respond to voluntary effort. Beyond this, Furukawa’s research advances the integration of machine learning with assistive robotics, aiming to improve motor function and quality of life for stroke survivors. His work is notable for bridging the gap between raw biosignal processing and practical, real-time robotic control, laying groundwork for next-generation neurorehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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