Abstract
Human gait is an important area of study in the field of physical therapy, medical diagnostics and biomedical engineering. Using multi-camera system associated with necessary software tools, the 3D human gait analysis is prepared. The images captured from each of the camera are assembled together to develop a 3D model with complete motion of human gait pattern. The passive optical markers are attached to the different locations of the lower limb of a human subject. The static position and the dynamic movement of the markers are obtained, and a 3D model is initialized. By taking the raw data from each of the camera, 3D tracking is performed. Also, a force plate placed in the walking platform assists in procuring kinetics data involved in movement and locomotion. Finally, the six joints of the lower limb are tracked and an inverse kinematics along with inverse dynamics library for the human gait is developed and validated with analytical geometrical results.
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Roy, G., Jacob, T., Bhatia, D., Bhaumik, S. (2020). Optical Marker- and Vision-Based Human Gait Biomechanical Analysis. In: Bhattacharyya, S., Konar, D., Platos, J., Kar, C., Sharma, K. (eds) Hybrid Machine Intelligence for Medical Image Analysis. Studies in Computational Intelligence, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-8930-6_11
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DOI: https://doi.org/10.1007/978-981-13-8930-6_11
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