Enjie Cao
Contact details
Thesis title
Augmented Reality-Based Rehabilitation for Lower Limb Amputees: Enhancing Balance and Gait Adaptation with Prostheses
Research overview
My research focuses on developing an augmented reality (AR)-based rehabilitation system to improve balance and gait adaptation in lower limb amputees using prostheses. The system integrates wearable sensors, such as IMUs and pressure sensors, with AR interfaces and somatosensory feedback to provide real-time assessment and adaptive guidance through interactive serious games. Controlled studies will evaluate usability, biomechanical improvements, and patient-reported outcomes. The project aims to establish reliable gait and balance assessment algorithms, an AR-based training game, a multimodal feedback system, and an evaluation framework to enhance motivation, proprioception, and functional recovery for lower limb amputees.
Research group
Supervisors
Qualifications
B.Eng. Mechanical Engineering, Sorbonne University, France (2022)
MSc. Robotics, Systems and Control, ETH, Switzerland (2025)