Researchers at Rutgers University have developed a smart shoe that analyzes walking patterns using energy harvested from the wearer's own footsteps, with no battery required. A triboelectric generator embedded in the sole converts the pressure and friction of each step into electricity, with a power management circuit boosting usable energy by up to 120 times compared to conventional methods. An onboard AI classifies movement into four categories, slow walking, fast walking, running, and stair climbing, with 95.4% accuracy, consuming just 86 microwatts in total. The entire analysis runs on the shoe itself without sending data to a phone or cloud. Beyond fitness tracking, the technology could one day monitor gait changes in patients with Parkinson's disease, spinal cord injuries, or traumatic brain injuries. "Gait is one of the most significant biomarkers for a lot of diseases," said lead researcher Simiao Niu. The research is published in Science Advances.