Mobility impairments caused by spinal cord injuries, stroke, and degenerative disorders limit independence for millions worldwide. This study presents a low-cost lower-limb exoskeleton that decodes user intention in real time using electroencephalographic (EEG) and electromyographic (EMG) signals. The system employs a PIC16F877A microcontroller executing adaptive impedance control ...