Presentation 2019-06-22
Prediction of types of striking-thrusting and initial motions in Tankendo using deep learning technique
Yuki Noguchi, Nayuta Ono, Maki Nakamura, Kiyoshi Hoshino,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The authors designed the system that will predict the striking and thrusting motions of Tankendo and detection of the players initial motions, using deep learning technique, so that we can design the martial art TANKENDO robot with which users can enjoy tankendo game with the robot.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) martial art Tankendo / prediction of types of striking-thrusting / detection of initial motions / deep learning technique
Paper # DE2019-4
Date of Issue 2019-06-15 (DE)

Conference Information
Committee DE
Conference Date 2019/6/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Jun Miyazaki(Tokyo Inst. of Tech.)
Vice Chair Shohei Yokoyama(Tokyo Metropolitan Univ.) / Kazuo Goda(Univ. of Tokyo)
Secretary Shohei Yokoyama(NTT) / Kazuo Goda(Univ. of Hyogo)
Assistant Saneyasu Yamaguchi(Kogakuin Univ.) / Shoko Wakamiya(NAIST)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Prediction of types of striking-thrusting and initial motions in Tankendo using deep learning technique
Sub Title (in English)
Keyword(1) martial art Tankendo
Keyword(2) prediction of types of striking-thrusting
Keyword(3) detection of initial motions
Keyword(4) deep learning technique
1st Author's Name Yuki Noguchi
1st Author's Affiliation University of Tsukuba(Univ. Tsukuba)
2nd Author's Name Nayuta Ono
2nd Author's Affiliation University of Tsukuba(Univ. Tsukuba)
3rd Author's Name Maki Nakamura
3rd Author's Affiliation Ibaraki Prefectural University of Health Sciences/University of Tsukuba(Ibaraki Univ. Health Sci./Univ. Tsukuba)
4th Author's Name Kiyoshi Hoshino
4th Author's Affiliation University of Tsukuba(Univ. Tsukuba)
Date 2019-06-22
Paper # DE2019-4
Volume (vol) vol.119
Number (no) DE-99
Page pp.pp.15-18(DE),
#Pages 4
Date of Issue 2019-06-15 (DE)