Yutaka Hata

Papers

Total Citations

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About

Yutaka Hata is a prominent researcher in biomedical engineering and human–machine interaction, with a focus on developing intelligent systems for health monitoring and assistive robotics. His work bridges sensor technology, signal processing, and artificial intelligence to assess human physiological and behavioral states. A key contribution is his development of a fatigue level estimation system based on sole pressure analysis, which uses a mat-type load distribution sensor to non-invasively capture gait patterns. This system, published in 2016, enables real-time fatigue assessment and integrates with robot partners within an informationally structured space to provide personalized notifications and suggestions for daily living support. While this foundational paper has garnered early citations, Hata’s broader impact is evident across his extensive publication record, which includes numerous studies on elderly care, fall detection, and smart environments. His work has been cited over 1,500 times, reflecting its influence on the design of non-contact, user-friendly health monitoring technologies. Hata’s achievements include advancing the practical application of sensor-based systems for improving quality of life, particularly for aging populations, and his research continues to shape the development of intelligent, adaptive assistive devices.