Smart Insole Gait Analysis

Wearable technology has transformed sports performance and health monitoring with real-time biomechanical testing. It is feasible to wear smart insoles with accelerometers and pressure sensors that allow gait analysis through the measurement of critical parameters like joint angles, stride length, ground reaction forces, and foot patterns. An intelligent insole system that tracks gait data, identifies gait deviations from ideal kinematics, and offers movement correction feedback. Thus introducing a novel approach for continuous gait monitoring and real-time correction. The system is coupled with machine learning algorithms to evaluate biomechanical parameters and optimize motion effectiveness. Experimental results show that the system can detect 93% gait anomalies at 150ms latency and offer real-time feedback, showing the system to prevent injury and optimize performance. The proposed approach is advantageous to sports individuals, rehabilitation patients, and fitness consumers by way of cost-effective and