Wireless MEMS Sensors Applied in Javelin ThrowingMovement Analysis

• Main Authors: Kuang-Hui Wang, 王光輝
• Other Authors: Hung-Chih Wu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/65916758392760218477

碩士 === 樹德科技大學 === 資訊工程系碩士班 === 101 === Objective: This research aims to analyze the difference between the javelin’s acceleration and angular velocity with regard to six main bodily joints when analysands throw javelins by using the measurement of wireless MEMS sensors. Subject：The analysands are divided into elite group and good group. The elite one are mainly athletes in university, four of whom hold javelins in their right hands (height 181±7.74 cm、weight 91.75±25.53kg, at the age of 22.5±4.0 years、and playing experience 7.75±2.16 year). As for the good group, they are mainly senior high school athletes, two of whom hold javelin in their right hands (height 170.5±5 cm、weight 81±9.89 kg、at the age of 18±0 years and playing experience 4±0.64 years). Methods：By using triaxial acceleration regulations and gyroscope which composes wireless MEMS sensors, I capture the resultant data of acceleration and angular velocity related to the six bodily joints when the analysands throw the javelins. Then I make the analysis with MS Excel and MatLab from the results of every experiments made by high-speed camera. Results: 1.From the distance in the course of throwing javelins, the flying time and angular measurement through the whole T examination analysis, I find that whether or not putting on the sensors does not influence the validity of technical operation. 2.The application of wireless sensors to the machine and bodily joints has nothing to do with professional performance of the athletes. The situation of gathering data when sensors are in the course of flying within adequate height and distance is also good. 3. The data generated through spectrum analysis and judged from acceleration and angular velocity, the average values of the elite group is better than those of good group. The elite group generates higher numbers of vibration compared to good group. The triaxial demonstration of acceleration and the number of vibration in the elite group is also higher than that of the good group. 4.The values gathered from the athletes’ bodily joints through the examination ANOVA proves the striking differences between acceleration and angular velocity. 5.The values gathered from atheletes’ bodily joints demonstrate striking discrepancy through the statistic analysis, acceleration, angular velocity, maximum values, average values, the total power and the comparative analysis of triaxial total power. Suggestions and Conclusions: 1.The influence of wireless sensors is less powerful than athletes’ technical performances. 2. Gathering the numeral analysis respectively from elite and good athletes can demonstrate the individuality of the athletes. 3. Wireless MEMS sensors can be applied to the athletic domain, becoming the tool system and methodology for the analysis of movement mechanics. 4. The results of this research can assist anyone who is involved in training to develop a reference model for training excellent athletes, and serves as a scientific basis for them.