抄録
In order to extract the distinct difference between the skillful and novice tennis players stroke forms, we have applied the Fourier-wavelets transform method to the sequential stroke images. According to our analysis, it has been revealed that a skillful tournament player's form with extending knee and flexing trunks motions yields higher accelerating racket speed than those of novice. Fourier-wavelets transform method is composed of two major steps : Fourier transform is used to correct positioning differences among the sequential images during tennis strokes. After that, local distinguished differences among them are extracted by means of wavelets multi-resolution analysis. Thereby, Fourier-wavelets transform method makes it possible to extract the differences between the skillful and novice tennis players, while conventional method is subjective one based on the judgement by the human eyes.
Thus, in the present paper, it is revealed that our proposed approach has a considerable possibility to extract the differences between the skillful and novice tennis players without any professional human observations.
