A Low-Cost Vision-Based Analysis of Human Walking

This paper presents a low-cost vision-based analysis of human walking, focusing on the evaluation using two motion capture technologies: Kinect and Inertial Measurement Units (IMU). The Kinect sensor provides a markerless, depth-based approach to motion tracking, while the IMU offers wearable motion sensing through accelerometers and gyroscopes. This integrated system improves analytical capabilities by capturing spatio-temporal gait parameters, supporting comprehensive biomechanical research. The proposed system highlights how the combination with results that can be used in the sensing devices of these technologies can offer valuable insight into human locomotion with low-cost efficient operation. A case of study is reported from laboratory experience to outline the characteristics and limits of the proposed system.