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  1. 研究報告
  2. ヒューマンコンピュータインタラクション(HCI)
  3. 2024
  4. 2024-HCI-207

Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors

https://ipsj.ixsq.nii.ac.jp/records/233016
https://ipsj.ixsq.nii.ac.jp/records/233016
2cf9bb1e-7059-407c-aa7a-9b1c9460108a
名前 / ファイル ライセンス アクション
IPSJ-HCI24207043.pdf IPSJ-HCI24207043.pdf (625.6 kB)
 2026年3月4日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥660, IPSJ:学会員:¥330, HCI:会員:¥0, DLIB:会員:¥0
Item type SIG Technical Reports(1)
公開日 2024-03-04
タイトル
タイトル Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors
タイトル
言語 en
タイトル Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors
言語
言語 eng
キーワード
主題Scheme Other
主題 評価・分析
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
兵庫県立神戸高等学校
著者所属
神戸大学大学院工学研究科
著者所属(英)
en
Hyogo Prefecture Kobe High School
著者所属(英)
en
Grad. School of Engineering Kobe University
著者名 Ximan, Liu

× Ximan, Liu

Ximan, Liu

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Tsutomu, Terada

× Tsutomu, Terada

Tsutomu, Terada

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著者名(英) Ximan, Liu

× Ximan, Liu

en Ximan, Liu

Search repository
Tsutomu, Terada

× Tsutomu, Terada

en Tsutomu, Terada

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論文抄録
内容記述タイプ Other
内容記述 Taekwondo adopted electronic protective gear in 2008. It automatically judges valid strikes by measuring the contact and force of the foot against the protective gear with sensors. It provides quick and correct judgments without subjectivity. However, since points are awarded as long as the sensors react, illegal kicks (e.g., Monkey kicks) are also judged as valid strikes. Such misjudgments by the Electronic protective gear not only confuse the game progression but also encourage the use of illegal kicks. In this study, we propose a new method to detect Monkey kicks using machine learning based on accelerometer and gyro sensor data. We also investigate the optimal number and placement of sensors for cost-effective wearable systems. This study aims to realize a low-cost electronic protective gear system that does not interfere with the wearing of the device. The evaluation results confirmed that 100% of Monkey kicks could be recognized by attaching only one sensor on the pelvis if the player's data had been pre-collected. Moreover, the highest accuracy of inter-subject identification is 64.2%, emphasizing the necessity of enhancing accuracy.
論文抄録(英)
内容記述タイプ Other
内容記述 Taekwondo adopted electronic protective gear in 2008. It automatically judges valid strikes by measuring the contact and force of the foot against the protective gear with sensors. It provides quick and correct judgments without subjectivity. However, since points are awarded as long as the sensors react, illegal kicks (e.g., Monkey kicks) are also judged as valid strikes. Such misjudgments by the Electronic protective gear not only confuse the game progression but also encourage the use of illegal kicks. In this study, we propose a new method to detect Monkey kicks using machine learning based on accelerometer and gyro sensor data. We also investigate the optimal number and placement of sensors for cost-effective wearable systems. This study aims to realize a low-cost electronic protective gear system that does not interfere with the wearing of the device. The evaluation results confirmed that 100% of Monkey kicks could be recognized by attaching only one sensor on the pelvis if the player's data had been pre-collected. Moreover, the highest accuracy of inter-subject identification is 64.2%, emphasizing the necessity of enhancing accuracy.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA1221543X
書誌情報 研究報告ヒューマンコンピュータインタラクション(HCI)

巻 2024-HCI-207, 号 43, p. 1-6, 発行日 2024-03-04
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8760
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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