Yoichi Fujinori
Papers
1
Total Citations
61
H-Index
1
About
Yoichi Fujinori is a leading researcher in geriatric rehabilitation and assistive robotics, with a primary focus on improving balance and mobility in frail older adults. His most cited work, a 2017 study on the balance exercise assist robot (BEAR), demonstrated that robot-assisted training is significantly more effective than conventional balance training for this vulnerable population. This cross-over trial, involving 27 community-dwelling frail individuals, established a new benchmark for technology-driven fall prevention. With over 60 citations, the paper highlights Fujinori's pivotal contribution to merging robotics with evidence-based geriatric care. His research addresses a critical public health challenge—fall-related injuries in aging societies—by developing and validating interventions that enhance postural control and functional independence. Fujinori's work not only advances clinical practice but also inspires future innovations in rehabilitation engineering, making him a key figure in the intersection of robotics, gerontology, and physical therapy.
Research Focus
Key Achievements
Top Papers
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