Acquisition and recognition method of throwing information for shot-put athletes

Zhen Gao; Huanghuan Shen; Shuangwei Xie; Jianhe Lei; D. Zhang; Yunjian Ge

doi:10.1007/978-3-540-74171-8_106

Acquisition and recognition method of throwing information for shot-put athletes

Zhen Gao, Huanghuan Shen, Shuangwei Xie, Jianhe Lei, D. Zhang, Yunjian Ge

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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.

Original language	English
Title of host publication	Advanced Intelligent Computing Theories and Applications
Subtitle of host publication	With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings
Publisher	Springer Verlag
Pages	1050-1058
Number of pages	9
ISBN (Print)	9783540741701
DOIs	https://doi.org/10.1007/978-3-540-74171-8_106
Publication status	Published - 2007
Externally published	Yes
Event	3rd International Conference on Intelligent Computing, ICIC 2007 - Qingdao, China Duration: 21 Aug 2007 → 24 Aug 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4681 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Intelligent Computing, ICIC 2007
Country/Territory	China
City	Qingdao
Period	21/08/07 → 24/08/07

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-540-74171-8_106

Cite this

Gao, Z., Shen, H., Xie, S., Lei, J., Zhang, D., & Ge, Y. (2007). Acquisition and recognition method of throwing information for shot-put athletes. In Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings (pp. 1050-1058). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4681 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74171-8_106

Gao, Zhen ; Shen, Huanghuan ; Xie, Shuangwei et al. / Acquisition and recognition method of throwing information for shot-put athletes. Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Springer Verlag, 2007. pp. 1050-1058 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "Zhen Gao and Huanghuan Shen and Shuangwei Xie and Jianhe Lei and D. Zhang and Yunjian Ge",

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Gao, Z, Shen, H, Xie, S, Lei, J, Zhang, D & Ge, Y 2007, Acquisition and recognition method of throwing information for shot-put athletes. in Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4681 LNCS, Springer Verlag, pp. 1050-1058, 3rd International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, 21/08/07. https://doi.org/10.1007/978-3-540-74171-8_106

Acquisition and recognition method of throwing information for shot-put athletes. / Gao, Zhen; Shen, Huanghuan; Xie, Shuangwei et al.
Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Springer Verlag, 2007. p. 1050-1058 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4681 LNCS).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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Gao Z, Shen H, Xie S, Lei J, Zhang D, Ge Y. Acquisition and recognition method of throwing information for shot-put athletes. In Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Springer Verlag. 2007. p. 1050-1058. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74171-8_106

Acquisition and recognition method of throwing information for shot-put athletes

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