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About

Seonghyun Kang is a leading researcher at the intersection of wearable robotics and biomechanics, with a primary focus on developing and validating soft robotic exosuits for gait assistance in aging and clinical populations. His most impactful work centers on the **Myosuit**, an FDA-approved soft wearable robot designed to provide hip and knee extension torque. In his highly cited 2022 study (9 citations), Kang conducted a comprehensive biomechanical analysis demonstrating that the Myosuit significantly reduces knee extensor demand during both level and incline walking, offering critical evidence for its clinical utility. Building on this, his 2023 investigation (3 citations) extended the Myosuit’s potential to stair ascent, a challenging daily activity where over 90% of elderly individuals rely on compensatory patterns—suggesting the device could serve as an effective training robot for stair negotiation. Most recently, in 2025 (2 citations), Kang pioneered a deep learning framework using inertial measurement units to recognize locomotion mode, phase, and phase progression, enabling more intuitive and synchronized control for next-generation soft exosuits. His work uniquely bridges rigorous biomechanical analysis with practical, real-world applications, positioning him as a key contributor to making wearable robotic assistance accessible and effective for elderly mobility support.