3D Visualization of Gait Analysis Using Unity Program

Abstract

This article includes a study on 3D visualization of gait analysis using Unity program to determine the reason for gait disorders. Here, the movements of the right tibia and the force generated in determined areas of the sole of the foot for the 20-second gait of a person were monitored with 3D visualized data. MPU-6050 module, which includes gyroscope and acceleration sensors to detect right foot movements, was used to perform gait analyses. We took force data from six areas determined on the sole by FSR sensors. These sensor data were transferred to the computer using wireless communication with the help of NodeMCU Wi-Fi modules working as server and client. After the sensors' data were normalized, we compared the signals of these data using different filtering methods. As a result of these comparisons, we determined that the low-pass filtering method with an optimized cut-off frequency of 5 Hz was more suitable than the other filtering methods. For this reason, we use low-pass filtering on the signals obtained for 3D data visualization. After filtering the signals of angle, acceleration, and force data received in real-time, we animatedly visualize the data of these signals with 3D column chart and heatmap visualization techniques. In our study, the 3D visualization method used for gait analysis can contribute to diagnosing and treating foot disorders that cause gait disorders.