• Title/Summary/Keyword: 스포츠비젼

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The Effects of Sports Vision Training on Baseball Player's Visual Performance and Baseball Records (스포츠비젼 트레이닝이 시기능 및 야구성적에 미치는 영향)

  • Lee, Min-A;Oh, Jae-Man;Jeong, Ju-Hyun
    • Journal of Korean Ophthalmic Optics Society
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    • v.15 no.1
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    • pp.87-97
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    • 2010
  • Purpose: The purpose of this study is to investigate the effects of sports vision training on baseball player's visual performance and baseball records. Methods: All subjects were 21 males of high school baseball players, and they participated on eight weeks of sports vision training program. Pre- and post- test results were obtained for static and dynamic visual acuity, static and dynamic stereo acuity, distance and near phoria, fusional reserves, near point of convergence, contrast sensitivity, visual-reaction time. Results: Statical analysis indicated significant improvement in most of mentioned visual variables and baseball records (p<0.001). Conclusions: It can be concluded that the sports vision training program improves visual skills of baseball players, which could lead to improvement in the baseball records. Vison training will be a promotor for baseball player to enhance their performance if proper test instruments and training course is supplied.

Development and Evaluation of the V-Catch Vision System

  • Kim, Dong Keun;Cho, Yongjoo;Park, Kyoung Shin
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.45-52
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    • 2022
  • A tangible sports game is an exercise game that uses sensors or cameras to track the user's body movements and to feel a sense of reality. Recently, VR indoor sports room systems installed to utilize tangible sports game for physical activity in schools. However, these systems primarily use screen-touch user interaction. In this research, we developed a V-Catch Vision system that uses AI image recognition technology to enable tracking of user movements in three-dimensional space rather than two-dimensional wall touch interaction. We also conducted a usability evaluation experiment to investigate the exercise effects of this system. We tried to evaluate quantitative exercise effects by measuring blood oxygen saturation level, the real-time ECG heart rate variability, and user body movement and angle change of Kinect skeleton. The experiment result showed that there was a statistically significant increase in heart rate and an increase in the amount of body movement when using the V-Catch Vision system. In the subjective evaluation, most subjects found the exercise using this system fun and satisfactory.

Differences of Dynamic Visual Acuity According to Optical Lens Color (안경렌즈 색상에 따른 동체 시력의 변화)

  • Lee, Min-A;Kim, Young Ji;Jeong, Ju-Hyun
    • Journal of Korean Ophthalmic Optics Society
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    • v.16 no.1
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    • pp.7-11
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    • 2011
  • Purpose: The purpose of this study is to investigate the differences of dynamic visual acuity to color of optical lens. Methods: we measured dynamic visual acuity using 5 colored lenses (transparent, yellow, blue, green, brown) for 30 university students. Results: Dynamic visual acuity were highest on yellow colored lens and lowest on brown colored lens, for both of naked eyes and contact lens wearers. Conclusions: It can be concluded that optical lens color can influence on dynamic visual acuity. Selection of colour lense can enhance or decrease of dynamic visual acuity. Therefore, a selection of colour lense should be carefully decided especially for athletes who needs a good dynamic visual acuity.

Tracking Algorithm For Golf Swing Using the Information of Pixels and Movements (화소 및 이동 정보를 이용한 골프 스윙 궤도 추적 알고리즘)

  • Lee, Hong, Ro;Hwang, Chi-Jung
    • The KIPS Transactions:PartB
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    • v.12B no.5 s.101
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    • pp.561-566
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    • 2005
  • This paper presents a visual tracking algorithm for the golf swing motion analysis by using the information of the pixels of video frames and movement of the golf club to solve the problem fixed center point in model based tracking method. The model based tracking method use the polynomial function for trajectory displaying of upswing and downswing. Therefore it is under the hypothesis of the no movement of the center of gravity so this method is not for the amateurs. we proposed method using the information of pixel and movement, we first detected the motion by using the information of pixel in the frames in golf swing motion. Then we extracted the club head and hand by a properties of club shaft that consist of the parallel line and the moved location of club in up-swing and down-swing. In addition, we can extract the center point of user by tracking center point of the line between center of head and both foots. And we made an experiment with data that movement of center point is big. Finally, we can track the real trajectory of club head, hand and center point by using proposed tracking algorithm.