| Presentation | 2023-09-07 A study on visual guidance system for table tennis swing assist using machine learning Hanif Fermanda Putra, Tomoaki Konno, Haruhisa Kato, Tatsuya Kobayashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In table tennis, the ability to predict the trajectory of the ball is necessary to hit back a ball hit by an opponent and continue a rally. In order to hit the ball back, the presentation of the trajectory of the racket swing is considered to be useful in addition to the ability to predict the trajectory of the ball. In this study, we investigated a visual guide display system for table tennis swing assist. Specifically, we proposed a machine learning model that estimates the three-dimensional racket posture and velocity for hitting the ball back, using the ball position sequence and the ball return drop point as inputs. To assist the user in hitting the ball back, we prototyped a system that displays the estimated racket posture and velocity as a CG a virtual space. Through obejctive evaluation experiments, the proposed method has a ball's return rate of higher than the conventional method. In addition, the subjetive evaluation suggested that the swing guidance using the proposed method is effective for beginners to practice. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Virtual Reality / Machine Learning / Human Augmentation |
| Paper # | MVE2023-15 |
| Date of Issue | 2023-08-31 (MVE) |
| Conference Information | |
| Committee | MVE |
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| Conference Date | 2023/9/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kiyoshi Kiyokawa(NAIST) |
| Vice Chair | Sumaru Niida(KDDI Research) |
| Secretary | Sumaru Niida(Otsuma Women's Univ.) |
| Assistant | Hidehiko Shishido(Univ. of Tsukuba) / Atsushi Nakazawa(Kyoto Univ.) / Naoya Tojo(KDDI Research) / Naoki Hagiyama(NTT) / Yuji Tatada(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Media Experience and Virtual Environment |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on visual guidance system for table tennis swing assist using machine learning |
| Sub Title (in English) | |
| Keyword(1) | Virtual Reality |
| Keyword(2) | Machine Learning |
| Keyword(3) | Human Augmentation |
| 1st Author's Name | Hanif Fermanda Putra |
| 1st Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| 2nd Author's Name | Tomoaki Konno |
| 2nd Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| 3rd Author's Name | Haruhisa Kato |
| 3rd Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| 4th Author's Name | Tatsuya Kobayashi |
| 4th Author's Affiliation | KDDI Research, Inc.(KDDI Research) |
| Date | 2023-09-07 |
| Paper # | MVE2023-15 |
| Volume (vol) | vol.123 |
| Number (no) | MVE-180 |
| Page | pp.pp.5-10(MVE), |
| #Pages | 6 |
| Date of Issue | 2023-08-31 (MVE) |