Multi-directional random ball generator based on impact characteristics without inter-frame interface
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Tennis is a popular sport because of its excellent physical benefits; however, many individuals abandon the sport owing to the lengthy training period required to acquire game-ready skills. This is often due to the challenges of adapting to real game conditions on tennis courts after lessons. On the court, balls exhibit random positions and unpredictable timing; traditionally, players can only improve their adaptability through actual matches. This paper presents a multi-directional random ball generator that features randomness in ball placement and timing based on impact characteristics. The device uses a single ball that returns to the user with random bounce location and timing when struck. With this device, users can practice independently without requiring a skilled partner and can develop the ability to respond effectively to varying ball positions and timings on their own. By replicating the characteristics of a tennis court, consistent practice with this device helps players adapt more efficiently to real game conditions.
Abstract
Tennis is a popular sport because of its excellent physical benefits; however, many individuals abandon the sport owing to the lengthy training period required to acquire game-ready skills. This is often due to the challenges of adapting to real game conditions on tennis courts after lessons. On the court, balls exhibit random positions and unpredictable timing; traditionally, players can only improve their adaptability through actual matches. This paper presents a multi-directional random ball generator that features randomness in ball placement and timing based on impact characteristics. The device uses a single ball that returns to the user with random bounce location and timing when struck. With this device, users can practice independently without requiring a skilled partner and can develop the ability to respond effectively to varying ball positions and timings on their own. By replicating the characteristics of a tennis court, consistent practice with this device helps players adapt more efficiently to real game conditions.
참고문헌 (4)
- T. He, , pp.549~555 (2020)
- Y. K. Foo, "Enhancing tennis prac-tice: sensor fusion and pose estimation with a smart tennis ball", Sensors, 24(16), pp.5306~ (2024)
- Y. Hiramoto, , pp.84~102 (2024)
- P. Shiralagi, "A novel ap-proach to tennis game analysis and emulation using com-puter vision", Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, IC-CSP 2020, pp.286~292 (2020)
