Kim Jiae

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About

Dr. Jiae Kim is a leading researcher in rehabilitation robotics and human–machine interaction, with a primary focus on robot-assisted gait training for individuals with neurological impairments. Her most cited work, "Intensity control of robot-assisted gait training based on biometric data: Preliminary study" (2022, 3 citations), pioneers a data-driven approach to personalizing rehabilitation. In this prospective, non-blinded randomized controlled trial, Dr. Kim demonstrated that adjusting training intensity using patients' real-time biometric data—such as heart rate and muscle activity—can be more effective than relying solely on a therapist’s subjective judgment. This contribution addresses a critical gap in robotic rehabilitation: the need for objective, patient-specific intensity modulation to optimize motor recovery and engagement. Her research bridges biomechanics, sensor technology, and clinical practice, offering a scalable framework for smarter, adaptive therapy devices. Dr. Kim’s work has been recognized for its translational potential, laying groundwork for future studies that could reduce therapist burden and improve outcomes in stroke and spinal cord injury populations. With growing citations and ongoing collaborations, she is establishing herself as a key voice in evidence-based, patient-centered rehabilitation technology.