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Paper Abstract and Keywords
Presentation 2019-11-14 15:10
Stroke Analysis for Badminton Game Based on TCN and Stroke Characteristics
Yosuke Kinoshita, Hiroki Takahashi (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) Although recording and publication of game videos in sports are progressing, analysis of game content is not fully automated. In particular, badminton is more difficult to automatically analyze matches than other sports due to variety of strokes and rapid and irregular game development. In this research, judge the stroke that causes the score in the badminton game videos. A player, who shot a service, and a final stroke are recognized by using TCN which learned nine kinds of strokes, prior knowledge of stroke characteristics and detected shuttle in a restricted region. As a result, service detection, final stroke classification and ace-error classification accuracy were 0.975, 0.506 and 0.451, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Badminton / Temporal Convolutional Network / Stroke Characteristics / Faster R-CNN / Action Recognition / / /  
Reference Info. ITE Tech. Rep., vol. 43, Nov. 2019.
Paper #  
Date of Issue 2019-11-07 (ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee SIP ME  
Conference Date 2019-11-14 - 2019-11-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Sojo University, Main Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sport Information Processing, Analysis, etc. 
Paper Information
Registration To SIP 
Conference Code 2019-11-SIP-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stroke Analysis for Badminton Game Based on TCN and Stroke Characteristics 
Sub Title (in English)  
Keyword(1) Badminton  
Keyword(2) Temporal Convolutional Network  
Keyword(3) Stroke Characteristics  
Keyword(4) Faster R-CNN  
Keyword(5) Action Recognition  
1st Author's Name Yosuke Kinoshita  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hiroki Takahashi  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Date Time 2019-11-14 15:10:00 
Presentation Time 25 
Registration for SIP 
Paper # ME2019-121 
Volume (vol) 43 
Number (no) no.39 
Page pp.25-28 
Date of Issue 2019-11-07 (ME) 

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