Sports Vision Based Tennis Player Training

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Sport vision based tennis player training is proposed to accelerate players’ skill-up in tennis play with instructions provided by the proposed sport vision based system. In sports, gaze, dynamic visual acuity, eye movement and viewing place are important. In sports vision, Static eyesight, Dynamic visual acuity, Contrast sensitivity, Eye movement, Deep vision, Instant vision, Cooperative action of eye, hand and foot, and Peripheral field are have to be treated. In particular for the tennis, all of the items are very important. Therefore, sports vision based tennis player training system is proposed. Through experiment, it is found that the proposed system does work well for improvement of tennis players’ skills.

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... Ein Teil dieses Erfolges könnte auf ein unterschiedliches Level im Stereosehen zurückzuführen sein. Dies wird auch in anderen Studien bestätigt [22]. So können z. ...
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Background: Optimal visual abilities including stereo acuity seem to be an important issue in sports. There is increasing evidence that stereo acuity can be sustainably improved by digital vision training even for people with good stereo acuity. Study design and test methods: In this study 31 male and female tennis players (professionals, young professionals, coaches and former professionals) completed at least 6 training units each with 192 dynamic stereoscopic tasks (N = 1152) within 6 weeks including a 4-option test with different levels of difficulty on a 3D screen at a distance of 5 m. The parameter reaction time and correctness at 15-300 arcseconds was determined. For a more precise representation of the reaction time improvement as a function of the difficulty level, the parameter reaction time increase per stereo disparity reduction (ReST) was defined. Results: Reaction time to 15 arcsecond stimuli significantly decreased from 3.9 s to 1.6 s (59%) as a result of digital vision training. The correctness at 30 arcsecond stimuli significantly increased by 23%. Discussion: The observed improvement in reaction time during vision training did not result in decreasing correctness when answering the visual questions. This represents an overall improvement in stereo vision. Conclusion: Dynamic visual training over 6 weeks improves stereoscopic performance including stereo acuity, response time and correctness.
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Method for face identification based on eigen value decomposition together with tracing trajectories in the eigen space after the eigen value decomposition is proposed. The proposed method allows person to person differences due to faces in the different emotions. By using the well known action unit approach, the proposed method admits the faces in the different emotions. Experimental results show that recognition performance depends on the number of targeted peoples. The face identification rate is 80% for four peoples of targeted number while 100% is achieved for the number of targeted number of peoples is two.
A system which allows computer input without a keyboard is proposed. The system utilizes a display-mounted Web camera for acquisition of the user's face and also a display-mounted lamp for illumination of the user. It is found that the proposed system allows almost perfect computer input (90%) if the distance between the user and display is within 30 cm and if the keyboard image is displayed on a 19-inch computer display (8-cm key distance) with 40-W fluorescent light as normal illumination from both sides of the display. The proposed system thus requires one retry of key entry in ten times. The proposed system allows user movement, because a moving picture of the user's face is acquired in real time. The relation of the allowable user movement to the success rate, and the relation of the signal-to-noise ratio and the contrast of the acquired image of the user to the success rate are determined. © 2009 Wiley Periodicals, Inc. Electron Comm Jpn, 92(5): 31–40, 2009; Published online in Wiley InterScience ( DOI 10.1002/ecj.10015