Yasunari Fujimoto
Tokyo Metropolitan University, Tokyo Metropolitan Institute of Medical Science
Papers
9
Total Citations
39
H-Index
4
About
Yasunari Fujimoto is a pioneering researcher in human-robot interaction, with a focus on assistive robotics for elderly care and cross-cultural communication. His work centers on developing intelligent robotic systems that monitor and support the daily lives of aging populations, particularly in Japan, where the need for care prevention is critical. Fujimoto’s major contributions include creating interaction monitoring robots that use sensor networks—such as ZigBee accelerometers and Kinect—to track user activity and prevent falls, as well as information recommendation systems that promote regular exercise and healthy routines. His studies on mental stress evaluation, using accelerated plethysmogram and chaos theory, have advanced the understanding of physiological responses to robotic interactions. Notably, Fujimoto has explored how cultural differences in greetings (e.g., bowing vs. handshaking) affect human physiological and brain responses to robots, revealing the importance of culturally adaptive design. With over 30 citations across his most cited works, his research has laid groundwork for welfare robots that are both technically robust and socially aware, making him a key figure in the intersection of gerontechnology and human-robot communication.
Research Focus
Key Achievements
Top Papers
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- 7Attendant robot for elderly service using sensor network system3 citations · 2013
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