Shintaro Yamamoto
Papers
2
Total Citations
20
H-Index
2
About
Shintaro Yamamoto is a researcher advancing wearable sensing and human motion analysis, with a focus on gait phase detection—a critical technology for robotic assistance, rehabilitation, and health monitoring. His work centers on using muscle deformation signals to identify key gait events, such as heel-contact and foot-off states, without relying on conventional inertial or electromyographic sensors. Yamamoto’s most-cited paper (2021, 12 citations) introduces a gait phase detection method based on muscle deformation with a static standing-based calibration, simplifying setup and improving usability for real-world applications. His earlier work (2019, 8 citations) specifically targets accurate heel-contact detection using muscle deformation from specific poses, addressing a key requirement for gait analysis. By developing calibration techniques that reduce user burden and enhance detection reliability, Yamamoto contributes to more practical, non-invasive wearable systems for synchronous robotic assistance and clinical diagnostics. His research bridges biomechanics and sensor technology, offering scalable solutions for monitoring human motion in both rehabilitation and daily life.
Research Focus
Key Achievements
Top Papers
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