In this method, only two cameras have been used.Īnalysis of human movement may take place for various purposes, which include recognizing the details of a movement (such as degree of freedom of joints, stride length), diagnosis of motor and musculoskeletal diseases (such as orthopedic or posture disorders), and progressing the performance of athletes or a person who injured. The C3D data collection, which we presented in this research, is more accessible and cost-efficient than other systems. This method can be used as an alternative method for motion analysis due to a more detailed comparison. The mean correlation coefficient of datasets is 0.7. The subject was captured simultaneously with both the Cortex system and two video cameras during each validation test. To create C3D data from 3D coordinates of the body points, MATLAB functions were used. By capturing movements with two video cameras, marker coordination is obtainable using Skill-Spector. This research intends to use ordinary video cameras and open source systems to get 3D data and create a C3D format due to these problems. This equipment is quite expensive, and using them is time-consuming. Unique cameras and specific software are essential for analyzing the data. The Human three-dimensional (3D) musculoskeletal model is based on motion analysis methods and can be obtained by particular motion capture systems that export 3D data with coordinate 3D (C3D) format.
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