Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis
碩士 === 樹德科技大學 === 資訊工程系碩士班 === 99 === The purpose of this study was using the wireless MEMS sensors system to analyses the spin forehand in tennis and compwere the gravity on each limb segment sensors. The Freescale''s acceleration MEMS chip, Freescale-13213 wireless sensor network...
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ndltd-TW-099STU053920112015-10-13T20:18:52Z http://ndltd.ncl.edu.tw/handle/17820681103871883856 Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis 無線微機電感測器系統應用於網球正手拍上旋球回擊動作分析 Pei-Ling Lin 林姵伶 碩士 樹德科技大學 資訊工程系碩士班 99 The purpose of this study was using the wireless MEMS sensors system to analyses the spin forehand in tennis and compwere the gravity on each limb segment sensors. The Freescale''s acceleration MEMS chip, Freescale-13213 wireless sensor network systems integration chips and Gyroscope were involved in the research . The MMA3202-chip were used to measure X-axis± 100g andY-axis ± 50g.Besides, MMA1210-chip Z-axis ± 100g which measurement sampling frequency is 500Hz. Moreover,XY-axis gyroscope chip is IDG-650, Z-axis wafer is ISZ-650 and the test value of is about +3200 ° to 2600 °. The research object players can be comfortable in the test without discomfort feeling. The average of senior high school students’ height of were 174.2 cm+4.76 cm.The average weight are 66.6 kg+5.98.The average age are 17.2 years old+ .84. Besides they were all right-handed players. On the other sides, the group of junior players height were average 164 cm +8.8 cm, The average weight were 51 kg+ 8.57 .The average agewere 14.2 years-old. And they were right-handed players also. The player’s serve must to entered the serve area. Then it could recognize and collect for 10 times. The diverseness of each groups of the significance level subscribes for α= 0.05 . The finding are as follow: (1)The speed of the movement between in each group players with wearing wireless sensors or not was not reach significant difference (*p<.05). (2)Comparing to upper limbs segment g value it can be found that the senior high school group were better than high school group and junior group of players in the right wrist ,(Y&Z axis), the left knee right waist (Z axis) and reached to significant difference (*p<.05).Besides, the right wrist, right shoulder (X axis), left knee, and right waist reached to the maximum value of g (Z axis) .The right elbow reached to maximum g value (X, Y axis) at the moment of hitting segment tile the flow through movement. During this time, the grip reached to the maximum g value(X,Y axis) (3)In terms of stability , both of the two groups in each axis reached to none significant difference (4)Comparing the two group of the players’ upper limbs, it can be founded that senior high school players were reaching to the significant difference(*p<.05) in grip(Z axis) and right wrist(Y axis). Recommendation: To establish dynamic map standards for testing national team for the coach which can be used during the training process. Besides, the coach should strength the players’ wrist, elbow and shoulder to increase the speed of swing and the rotation of the ball. 陳怡良 2011 學位論文 ; thesis 63 zh-TW |
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碩士 === 樹德科技大學 === 資訊工程系碩士班 === 99 === The purpose of this study was using the wireless MEMS sensors system to analyses the spin forehand in tennis and compwere the gravity on each limb segment sensors. The Freescale''s acceleration MEMS chip, Freescale-13213 wireless sensor network systems integration chips and Gyroscope were involved in the research . The MMA3202-chip were used to measure X-axis± 100g andY-axis ± 50g.Besides, MMA1210-chip Z-axis ± 100g which measurement sampling frequency is 500Hz. Moreover,XY-axis gyroscope chip is IDG-650, Z-axis wafer is ISZ-650 and the test value of is about +3200 ° to 2600 °. The research object players can be comfortable in the test without discomfort feeling. The average of senior high school students’ height of were 174.2 cm+4.76 cm.The average weight are 66.6 kg+5.98.The average age are 17.2 years old+ .84. Besides they were all right-handed players. On the other sides, the group of junior players height were average 164 cm +8.8 cm, The average weight were 51 kg+ 8.57 .The average agewere 14.2 years-old. And they were right-handed players also.
The player’s serve must to entered the serve area. Then it could recognize and collect for 10 times. The diverseness of each groups of the significance level subscribes for α= 0.05 . The finding are as follow:
(1)The speed of the movement between in each group players with wearing wireless sensors or not was not reach significant difference (*p<.05).
(2)Comparing to upper limbs segment g value it can be found that the senior high school group were better than high school group and junior group of players in the right wrist ,(Y&Z axis), the left knee right waist (Z axis) and reached to significant difference (*p<.05).Besides, the right wrist, right shoulder (X axis), left knee, and right waist reached to the maximum value of g (Z axis) .The right elbow reached to maximum g value (X, Y axis) at the moment of hitting segment tile the flow through movement. During this time, the grip reached to the maximum g value(X,Y axis)
(3)In terms of stability , both of the two groups in each axis reached to none significant difference
(4)Comparing the two group of the players’ upper limbs, it can be founded that senior high school players were reaching to the significant difference(*p<.05) in grip(Z axis) and right wrist(Y axis).
Recommendation: To establish dynamic map standards for testing national team for the coach which can be used during the training process. Besides, the coach should strength the players’ wrist, elbow and shoulder to increase the speed of swing and the rotation of the ball.
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author2 |
陳怡良 |
author_facet |
陳怡良 Pei-Ling Lin 林姵伶 |
author |
Pei-Ling Lin 林姵伶 |
spellingShingle |
Pei-Ling Lin 林姵伶 Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis |
author_sort |
Pei-Ling Lin |
title |
Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis |
title_short |
Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis |
title_full |
Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis |
title_fullStr |
Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis |
title_full_unstemmed |
Wireless MEMS Sensors System Applied in Tennis Forehand Top Spin Return Movement Analysis |
title_sort |
wireless mems sensors system applied in tennis forehand top spin return movement analysis |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/17820681103871883856 |
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