DocumentCode
3461434
Title
Analysis of GRF by Means of Wavelet Transform for the Performance Diagnosis of Weight Lifter
Author
Lei, Jianhe ; Gao, Zhen ; Song, Quanjun ; Liu, Ming ; Qiu, LianKui ; Yu, Yong ; Ge, Yunjian
Author_Institution
Inst. of Intell. Machine, Chinese Acad. of Sci., Hefei
fYear
2006
fDate
20-23 Aug. 2006
Firstpage
388
Lastpage
392
Abstract
Weightlifting is one of the most physically demanding sports. A successful lift is influenced by many factors. Among them, the ground reaction force (GRF) which is exerted on weight lifers during the motion process is crucial to the performance of a weight lifer, so the acquisition and analysis of GRF is very important to the scientific research of weightlifting. This paper describes GRF acquisition using a force platform and analysis by means of wavelet transform (WT) for the performance diagnosis of weight lifters. The differences of GRF between the skilled weight lifters and the learners are reported. The method allows to detect and to quantify details not easily perceivable by coaches through traditional techniques. By wavelet transform of the GRF, it is possible for biomechanics experts to analysis mechanical behaviours of athletes and to direct them to improve their skills. GRF acquisition and analysis provides a very important tool for modern athletes training.
Keywords
biomechanics; data acquisition; image motion analysis; sport; wavelet transforms; athletes training; biomechanics; force platform; ground reaction force acquisition; mechanical behaviours; motion process; performance diagnosis; scientific research; sports; wavelet transform; weightlifting; Biomechanics; Information analysis; Kinematics; Machine intelligence; Motion analysis; Pattern analysis; Performance analysis; Physics computing; Wavelet analysis; Wavelet transforms; GRF; force platform; wavelet transform; weight lifting;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Acquisition, 2006 IEEE International Conference on
Conference_Location
Shandong
Print_ISBN
1-4244-0528-9
Electronic_ISBN
1-4244-0529-7
Type
conf
DOI
10.1109/ICIA.2006.305743
Filename
4097965
Link To Document