{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233016","sets":["1164:3027:11450:11519"]},"path":["11519"],"owner":"44499","recid":"233016","title":["Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-04"},"_buckets":{"deposit":"e4e3e0c3-985c-43bc-b310-918fa4ea932e"},"_deposit":{"id":"233016","pid":{"type":"depid","value":"233016","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors","author_link":["631937","631938","631939","631936"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors"},{"subitem_title":"Sensor Combination Analysis for Taekwondo Illegal Kick Classification using Inertial Sensors","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"評価・分析","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-04","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"兵庫県立神戸高等学校"},{"subitem_text_value":"神戸大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Hyogo Prefecture Kobe High School","subitem_text_language":"en"},{"subitem_text_value":"Grad. School of Engineering Kobe University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/233016/files/IPSJ-HCI24207043.pdf","label":"IPSJ-HCI24207043.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HCI24207043.pdf","filesize":[{"value":"625.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"33"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"2f41f0b5-912d-4500-810e-dc88e7535c37","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ximan, Liu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tsutomu, Terada"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ximan, Liu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tsutomu, Terada","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1221543X","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8760","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告ヒューマンコンピュータインタラクション（HCI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"43","bibliographicVolumeNumber":"2024-HCI-207"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":233016,"updated":"2025-01-19T10:14:36.278172+00:00","links":{},"created":"2025-01-19T01:34:12.831303+00:00"}