Dominic Thewlis

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About

Dominic Thewlis is a leading researcher in biomechanics and rehabilitation engineering, with a focus on understanding and preventing fall-related injuries in aging populations. His work bridges computer vision, robotics, and clinical movement analysis to improve safety and recovery outcomes. One of his most influential contributions is the development of fall recovery subactivity recognition using RGB-D cameras, a system that identifies not just a fall but the specific recovery movements an individual attempts. This innovation, published in 2016 and cited over 40 times, addresses a critical gap in elderly care: after a fall, improper recovery techniques can lead to secondary complications. By enabling automated detection of recovery subactivities, Thewlis’s work supports the design of assistive technologies that guide safe recovery or alert caregivers. In parallel, he has advanced wrist biomechanics research, notably developing a six degree-of-freedom robotic method to replicate carpus kinematics—a novel approach that enhances understanding of joint mechanics and prosthetic design. His interdisciplinary work has significant implications for fall prevention, rehabilitation robotics, and aging-in-place technologies, making him a key figure in translational biomechanics.