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.