Abstract
Understanding of human motion is based on analysis of complex motion patterns and requires systematic study of body mechanics. The technologies used to support analysis of human locomotion has advanced dramatically over past decades and were efficiently applied also in many clinical research studies to help clinicians recognize their patients’ motion related health problems. Computerized motion capture systems are used to asses human kinematics in quantitative way. Such systems usually track motion of small either passive or active markers attached to the patients’ bodies and offer highly accurate measurements. However, they can not by used out of the laboratory because of sophisticated equipment or they are to expensive to be widely used. Therefore, there are efforts to derive kinematics directly from video records where no special apparel is needed. In our work, the digital image processing techniques were used to develop algorithms for automatic detection of human motion trajectories. Based on these algorithms, the marker-free analysis system has been created and tested in analysis of human gait.
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Majerník, J. (2015). Reconstruction of Human Motion Trajectories to Support Human Gait Analysis in Free Moving Subjects. In: Pancerz, K., Zaitseva, E. (eds) Computational Intelligence, Medicine and Biology. Studies in Computational Intelligence, vol 600. Springer, Cham. https://doi.org/10.1007/978-3-319-16844-9_4
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DOI: https://doi.org/10.1007/978-3-319-16844-9_4
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