REAL-TIME HUMAN MOTION CAPTURE USING WEARABLE SENSORS

Abstract

Real-Time Human Motion Capture using wearable sensors has emerged as a promising technology in various fields, such as sports analysis, rehabilitation, and virtual reality. This work presents a novel approach to capturing human motion in real-time using lightweight and unobtrusive wearable sensors. By employing sensor fusion techniques and advanced algorithms, the system accurately tracks and reconstructs the movements of individuals, providing detailed information about joint angles, velocities, and trajectories. The real-time aspect of the system enables instantaneous feedback, making it ideal for applications requiring immediate analysis or interaction. The proposed method demonstrates high accuracy and reliability, paving the way for widespread adoption of wearable sensor-based motion.

Keywords: Wearable Sensors, Sensor Fusion Techniques, Motion Tracking, Motion Reconstruction, Real-Time sports analysis.