Gait analysis and improvement in sports based on optical holographic imaging and pressure sensor

Abstract

Gait analysis is an important indicator for evaluating athletes' technical level and physical condition, but traditional methods have limitations on the accuracy and real-time performance of gait. Therefore, this article proposes a novel gait analysis method using optical holographic imaging technology and pressure sensor technology. This article establishes an experimental system consisting of an optical holographic imaging device and a pressure sensor, which captures real-time gait data of athletes and converts it into digital signals. By using optical holographic imaging technology, obtain 3D gait images of athletes, as well as detailed information such as joint angles and joint motion trajectories. Pressure sensors can measure the pressure distribution of athletes' feet in real-time, providing more comprehensive gait data. Subsequently, the collected gait data is analyzed and identified, and accurate gait patterns are established through training models for evaluating and classifying different gait types. The research results indicate that gait analysis methods based on optical holographic imaging and pressure sensors have great potential and can be applied to gait improvement and technical training in sports.