Abstract
In this work, a human motion capture system was designed to explore the influence of special equipment on the movement of human joints. In the system, 12 motion capture cameras were used to make the system equipment and configuration. The motion targets were designed according to the motion range and structural characteristics of different body segments. The motion measurement model was designed by using neural network algorithm, and the test software was developed. The test results suggested that the human motion capture system meets the static and dynamic multi-joint angle capture test requirements. It can realize the static detection of human activity and measure the range of motion of shoulder, elbow, wrist, finger, head and neck, waist, hip, knee, ankle and other joints in sagittal plane, coronal plane and horizontal plane, and the motion posture detection accuracy is up to 0.2°.
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The study was approved by the Logistics Department for Civilian Ethics Committee of IQET, AMS.
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Shen, Y., Li, C., Bi, X., Wei, H. (2023). Design and Development of Human Motion Capture System. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2022. Lecture Notes in Electrical Engineering, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-19-4786-5_32
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DOI: https://doi.org/10.1007/978-981-19-4786-5_32
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