無線微機電感測器系統應用於沙灘手球騰空接球射門動作分析

THE RACKET VIBRATION ANALYSIS OF WIRELESS MEMS SENSORS USED IN BADMINTON HIGH BACKHAND STROKE

目的：收集沙灘手球優秀選手與次優秀選手在進行騰空接球射門時右手掌的相關運動學資料，進行差異分析。方法：優秀選手為2012年世界大學手球錦標賽臺灣代表隊國手，次優秀選手為國家培訓隊隊員，兩人在右手掌外貼上無線感測器，運用微機電三軸加速規，並配合高速攝影機拍攝動作與測速槍量測球速，收集相關參數，再統計分析。結果：一、在有、無配戴感測器情形下，測得優秀和次優秀選手的球速，進行成對t檢定，兩者無顯著差異(顯定水準α為0.05)。二、優秀與次優秀選手在右手掌的合力加速度最大平均值成顯著差異。三、以優秀選手為基準之加速度面積誤差百分比在三軸和為72%；以優秀選手為基準之合力加速度面積誤差百分比則是64%。結論：一、配戴感測器在選手進行動作時，不會對選手造成影響；二、優秀選手的右手掌合力加速度值較次優秀選手大，可見優秀選手右手掌出力較大；三、從各軸向的加速度穩定性分析，優秀選手在三個軸向及三軸和皆比次優秀選手穩定，合力加速度穩定性分析也顯示優秀選手較穩定。

Purpose: This research explored the use of Wireless Micro Electro Mechanical systems (MEMS) Sensors to analysis of racket vibration of badminton high backhand striking. Subjects: The elite athlete is ranked number 14 in the world and the sub-elite are ranked the third of group B in this Taiwan. Methods: Underneath the racket is placed a wireless MEMS sensor which includes a tri-axis accelerometer. The sample is taken on the frequency of 3333Hz. When players strike backhand high racket， sensors capture measuring point of numerical data， and statistical analysis. Result: 1. Two of the contestants not worn and wear sensors in ball speed， no significant differences (The significant difference of α is 0.05 ). 2. From the acceleration spectrum， it is found that the elite athlete has more frequencies. 3. Significant differences are found between the two athletes on the vibrating time of the racket. 4. After the examination of the F and t testing， the total tri-axis power has obviously difference. 5. The analysis of racket time zone， both of the elite and sub-elite athletes have the obviously difference during the max and min average values on Z axis. Conclusions: 1. The performances of the athletes not worn and wear sensors are not affected. 2. The vibrating frequencies of the elite athlete are higher with the hitting points focused on the sweet spots. 3. The vibrating time of the elite athlete on the tri-axis is shorter than the sub-elite because the former releases the handle soon after hitting the ball. 4. The average of total tri-axis power in racket acceleration spectrum， the elite athlete’s data is better than the sub-elite athlete. 5. The racket time domain， the elite athlete’s data is better than the sub-elite athlete with the max and min average values on Z axis.