Improvement of Three-dimensional Motion Analyzer System for the Development of Indonesian Gait Database

Previously developed affordable three-dimensional (3D) Motion Analyzer System have been employed to obtain spatio-temporal gait parameters and 3D kinematics of upper body motion of both normal subjects as well as those with spinal abnormalities. However, occlusion problems have hindered the acquisition of the data. In this work, several modifications to the 3D Motion Analyzer System to improve its efficacy are proposed. First modification is the improvement in markers tracking module to overcome the occlusion problem, and the second one is automation of the subjects’ anthropometry processing to minimize the possibility of error in data processing. The improved systems are then utilized to obtain 3D gait parameters and upper body motion during gait of 50 male and 50 female subjects as part of a continuous effort to establish Indonesia gait database. Prior to data acquisition, the subjects’ anthropometry data and body posture are examined to ascertain normalcy. The subjects’ weight and height are also assessed to ensure that they are in normal range according to Body-Mass Index (BMI) criteria. We have compared our results to those obtained in literature. The spatio-temporal and gait parameters of the subjects are in agreement with those found in literature. Furthermore, the improvements have been successfully implemented to overcome the occlusion problem and improve the program efficiency through the addition of automation of input data from a source file. Overall, the parameters obtained from this research show that the 3D Motion Analyzer system would serve the purpose of gait parameters determination well. Hence, the system has the potential for utilization as a medical diagnostic tool.