Robotic Hip Exoskeleton for Gait Disabilities

This project develops a control system for a hip exoskeleton assisting stroke survivors with walking. Existing exoskeletons lack adaptability, comfort, and usability across activities. We implement an Assist-as-Needed (AAN) algorithm with EMG & IMU sensors to provide real-time movement-based support. Gait analysis (10-Meter Walk Test) evaluates effectiveness. Ongoing work focuses on refining sensor integration, optimizing control, and incorporating user feedback. The goal is to create a practical, affordable, and user-responsive assistive device to enhance independence and mobility.