Wearable Sensor-Based Gait Analysis and Robotic Exoskeleton Control for Parkinson’s Patients

Gait disorders are significant indicators of neurological diseases, such as Parkinson’s disease, and reduce the quality of life of patients. Soft body exoskeletons offer a therapeutic solution to address these disorders. Although the detection and classification of gait disorders is essential for treatment and diagnosis, a single standardized gait analysis system for exoskeleton control remains absent. This study presents the design of a real-time gait analysis system using wearable sensors. This system generates real-time feedback data by evaluating kinematic, kinetic and physiological parameters of gait. The digitized data can be used for ML integration and exoskeleton control.