Repeatability of Mae-Geri-Keage in Traditional Karate: A Three-Dimensional Analysis with Black-Belt Karateka
Autor: | Michela Turci, Y.F. Shirai, Chiarella Sforza, Virgilio F. Ferrario, Gian Piero Grassi, Giuliano Pizzini |
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Rok vydání: | 2002 |
Předmět: |
Adult
Male Three dimensional analysis Posture Video Recording Experimental and Cognitive Psychology 050105 experimental psychology Standard deviation 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Statistics Image Processing Computer-Assisted Humans 0501 psychology and cognitive sciences Mathematics Video recording 05 social sciences Reproducibility of Results 030229 sport sciences Repeatability Achievement Horizontal plane Sensory Systems Biomechanical Phenomena Motor Skills Female Joints Martial Arts Black belt |
Zdroj: | Perceptual and Motor Skills. 95:433-444 |
ISSN: | 1558-688X 0031-5125 |
DOI: | 10.2466/pms.2002.95.2.433 |
Popis: | In karate, performance also depends on a correct body shape, and the repeatability of standardized movements conditions the effectiveness of techniques. The execution of mae-geri-keage (frontal snap kick) was studied in 13 karateka (1st–5th dan). The 3D trajectories of 13 body landmarks were analyzed by an optoelectronic instrument while each karateka performed 10 repetitions of the movement. For each karateka and repetition, the standard deviations of the spatial coordinates x, y, z for each landmark were computed. A total standard deviation of the single participant was also calculated. Two experienced karateka performed with the best repeatability (smaller standard deviation) while executing the studied kick. Generally, the best repeatability was observed in the horizontal plane. The lower variability was observed in hips and head. Ankle and knee of the dominant limb had the worse. The method could detect athletes particularly gifted for the discipline. Moreover, it could help in the identification of those parts of body that do not repeat the movement with the desired precision. |
Databáze: | OpenAIRE |
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