Satoshi Hosono
Papers
2
Total Citations
20
H-Index
2
About
Satoshi Hosono is a researcher specializing in wearable sensing and biomechanics, with a primary focus on gait analysis and human motion detection. His work centers on developing innovative methods for gait phase detection—specifically identifying critical events like heel-contact and foot-off during walking—using muscle deformation signals. Hosono’s major contributions include the creation of calibration techniques that leverage static standing poses to improve the accuracy and practicality of wearable gait detection systems, reducing the need for complex setup procedures. His most-cited paper, "Gait Phase Detection Based on Muscle Deformation with Static Standing-Based Calibration" (2021), has garnered 12 citations, while his earlier work on heel-contact detection (2019) has received 8 citations, demonstrating growing interest in his approach. These contributions are significant for advancing synchronous robotic assistance, rehabilitation training, and health monitoring, offering a more accessible and robust alternative to traditional inertial or electromyography-based sensors. Hosono’s research bridges the gap between precise biomechanical measurement and real-world wearable applications, making him a notable figure in the field of human motion analysis.
Research Focus
Key Achievements
Top Papers
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- 2