Yasufumi Fuse
Papers
1
Total Citations
15
H-Index
1
About
Yasufumi Fuse is a researcher specializing in assistive robotics and human-machine interfaces, with a particular focus on enhancing mobility and autonomy for individuals with physical disabilities. His most notable contribution is the development of a hands-free semi-automatic control system for electric wheelchairs, which utilizes surface-electromyogram (sEMG) signals from facial muscles. This innovative work, published in 2012 and cited 15 times, demonstrates a practical application of biosignal processing to create intuitive, non-invasive control mechanisms. By enabling users to navigate wheelchairs through subtle facial muscle movements, Fuse’s research addresses critical accessibility challenges, offering a pathway to greater independence for those with limited upper-body mobility. His work stands out for its emphasis on real-world usability and integration of biomedical engineering with assistive technology. While his citation count reflects a focused, emerging impact, the novelty and humanitarian relevance of his system have positioned him as a contributor to the growing field of sEMG-based interfaces. Fuse’s research continues to inspire advancements in adaptive mobility solutions, bridging the gap between neural control signals and everyday assistive devices.
Research Focus
Key Achievements
Top Papers
- 1