Abstract
This paper presents a digital shot system based on three dimensions integrated accelerometer. The digital shot with almost the same size and weight as the standard shot for open female has been designed, fabricated and tested. The data collecting and processing system, human-machine interface and athlete train guiding system are illuminated in detail. By using wavelet transformation, the characteristics of acceleration signals during the shot-putting period can be extracted. In this manner, the force sensing system serves as a powerful tool for coaches and sports scientists to make scientific researches on shot-put techniques. It also provides an intuitive and reliable guidance for the shot-put athletes to improve their skills.
This work was supported by the National Science Foundation of China (Grant No. 60674060, and No. 60505012).
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References
Steele, J.R.: From Functional Footwear to Better Brassieres: Applying Pressure Distribution Technology to Enhance Sports Equipment. Journal of Biomechanics 39, 191 (2006)
Guo, A., Shi, J.F., Chen, W.Y.: Analysis of Javelin Throwing in the Final Thrust Phase. Journal of Medical Biomechanics 19(4), 234–239 (2004)
Boulic, R., Fua, P., Herda, L.: An Anatomic Human Body for Motion Capture. EMMSEC’98, Bordeaux (1998)
Zhang, Y.L.: The Mathematics Method Is Used to in the Modern Shot Sport. Journal of the Hebei Academy of Sciences 21(4), 13–16 (2004)
Mont, H., Neville, J.D.M., John, S.: Dependence of Release Variables in the Shot Put. Journal of Biomechanics 34, 449–456 (2001)
Sherry, L., Werner, J., John, A., Guido, G.W., Stewart, R.P., McNeice, T.V., Deryk, G.J.: Relationships Between Throwing Mechanics and Shoulder Distraction in Collegiate Baseball Pitchers. Journal of Shoulder and Elbow Surgery 16(1), 37–42 (2007)
Li, Z.S.: Humanoid Intelligent Control. National Defence Industry Press (2003)
Ge, Z.X.: Wavelet Analyse of Application. Electronic industry press (2003)
Paolo, B., Patrick, B., Ugo, D.C., Serge, H.R.: Changes in the Surface EMG Signal and the Biomechanics of Motion During a Repetitive Lifting Task. IEEE Trans on Neural System and Rehabilitation Eng 10(1), 38–47 (2002)
Saleh, S.A., Rahman, M.A.: Real-Time Testing of a WPT-Based Protection Algorithm for Three-Phase Power Transformers. IEEE Trans on Industry Applications 41(4), 1125–1132 (2005)
Julio, B., Ramón, I.D.: Application of the Wavelet-Packet Transform to the Estimation of Harmonic Groups in Current and Voltage Waveforms. IEEE Trans on Power Deliver 21(1) (2006)
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Gao, Z., Shen, H., **e, S., Lei, J., Zhang, D., Ge, Y. (2007). Acquisition and Recognition Method of Throwing Information for Shot-Put Athletes. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_106
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DOI: https://doi.org/10.1007/978-3-540-74171-8_106
Publisher Name: Springer, Berlin, Heidelberg
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