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Year of publication 2012
Type Conference abstract
MU Faculty or unit

Faculty of Sports Studies

Description In nature is human walking unique and we can not find it in the same form in any other animal. Human gait and its details are individual. Minor differences in gait pattern may vary not only between different individuals, but may vary for a given individual in time. These facts complicate the definition of a standard ’normal’ gait pattern. Nevertheless, based on the principle of cyclic walking its pattern is described, which deals with the description of one cycle (Ellis, 2005). Knowledge of the physiological characteristics of walking is necessary for a confrontation with pathological gait. Creating a population gait model is important for to assess the possibility of pathological gait and also can help to determine the causes of injury or wear skeletal muscle system. Results of work can help to prevent injury and also can be used in rehabilitation or orthopedics. We used a 3D kinematical analysis of basic human walk. The research group consisted of 16 woman (age 20 – 45 years). For scanning the picture we used two high-frequency synchronized digital cameras SIMI MOTION Version 7. We evaluated kinematical characteristics of 13 body points that were in the performance marked with retro reflexive balls. Center of gravity was made by model of Gubitz. On this basis, we follow the kinematic characteristics of body segments in each phase and at the moment of take-off and impact of the foot: center of gravity movement (horizontal, vertical), step length in relation to height, angle in the knee, ankle and elbow, comparison between left and right part of body, extremes and averages of flexion and extension, synchronization – the correlation between the angles dissenting limbs.
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