Abstract
Motion capture (MOCAP) systems are powerful tools for the health field; they enable kinematic analysis applicable to various rehabilitation purposes. Within the MOCAP technologies, Microsoft Kinect stands out for its advantages as cost, portability, and markerless characteristic. However, its tracking algorithm is modeled from machine learning, so Kinect is conditioned to identify the human body based on a certain pattern and bodies that depart from this pattern are not properly recognized. Thus, Kinect is not feasible for the kinematic analysis of individuals with different biotypes, such as member discrepancy or amputees. Based on the exposed, this work aims to create a tool which uses Kinect as a hybrid optical MOCAP system in which color markers will be positioned on the joints of interest to add extra information through colored passive markers to the standard Kinect skeleton tracking. A case study was conducted with an individual with lower limb discrepancy. The tests of the tool occurred with the numerical analysis of a sequence of movements made by the same. The analysis was made in MATLAB to quantify the angular variation of limbs and length of limb sections. The data was treated by comparing the hybrid method with the standard Kinect method and indicated the viability of the tool to capture movement of the tested biotype even when light variation conditions common to RGB systems are present.
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Lafayette, T.B.d.G., Teixeira, J.M.X.N., Da Gama, A.E.F. (2019). Hybrid Solution for Motion Capture with Kinect v2 to Different Biotypes Recognition. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/1. Springer, Singapore. https://doi.org/10.1007/978-981-13-2119-1_39
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DOI: https://doi.org/10.1007/978-981-13-2119-1_39
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