Naoki Iso

Papers

Total Citations

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About

Naoki Iso is a researcher whose work bridges the fields of rehabilitation robotics and image processing, with a focus on practical, real-world applications. His key research areas include assistive robotic systems for medical rehabilitation and efficient algorithms for computer vision. Iso’s major contribution to rehabilitation is the development of a wrist rehabilitation robot system for hemiplegic patients. This innovative device integrates a desk with mechanical rotating handles, myoelectric sensors, and a computer display to monitor and aid recovery, demonstrating a direct impact on patient care. In image processing, he proposed a systolic algorithm for the Euclidean distance transform, a fundamental operation used in computer vision, pattern recognition, and robotics. This algorithm efficiently computes distance maps for binary images, contributing to foundational computational methods. With his most-cited works—the rehabilitation robot paper (12 citations) and the systolic algorithm paper (11 citations)—Iso’s research showcases a dual commitment to advancing both medical technology and core algorithmic efficiency, making his work valuable for students and researchers in robotics, biomedical engineering, and computer vision.