{"updated":"2025-01-19T12:34:23.111738+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00226135","sets":["1164:5336:11212:11278"]},"path":["11278"],"owner":"44499","recid":"226135","title":["透明なゲルを用いた柔らかい入力インタフェースに関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-05-24"},"_buckets":{"deposit":"bf888d00-3c7e-47fb-bebb-d93f19b352ca"},"_deposit":{"id":"226135","pid":{"type":"depid","value":"226135","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"透明なゲルを用いた柔らかい入力インタフェースに関する検討","author_link":["599771","599775","599769","599777","599778","599772","599773","599776","599770","599774"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"透明なゲルを用いた柔らかい入力インタフェースに関する検討"},{"subitem_title":"A Study on a Soft Input Interface using Transplant Gel","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション8","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-05-24","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"青山学院大学理工学研究科"},{"subitem_text_value":"青山学院大学理工学研究科"},{"subitem_text_value":"青山学院大学理工学研究科"},{"subitem_text_value":"青山学院大学理工学研究科"},{"subitem_text_value":"青山学院大学理工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Engineering, Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Aoyama Gakuin University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/226135/files/IPSJ-EC23068029.pdf","label":"IPSJ-EC23068029.pdf"},"date":[{"dateType":"Available","dateValue":"2025-05-24"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EC23068029.pdf","filesize":[{"value":"4.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"40"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1a8a21b9-57f5-4a15-810e-6468ee62d215","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小栗, 芙美果"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 弘大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"前田, 竜矢"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 久範"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 雄一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Fumika, Oguri","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kodai, Ito","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tatsuya, Maeda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hisanori, Tanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuichi, Itoh","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12049625","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":"2188-8914","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In this study, we propose an input device using a soft and transparent gel and a system to estimate 3D interactions to the soft materials using the device. The device consists of a soft and transparent urethane resin, infrared LEDs, and infrared phototransistors. By deforming the device, the LED light intensity passing through the transparent gel changes. We propose a system to esitimate the deformation of the device by machine learning from the feature values of phototransistors that changes in response to the light. As an evaluation experiment, we classified 13 different interactions using two hands and evaluated the accuracy of the system. We acquired data 10 times for each interaction and classified them using SVM. The classification accuracy was evaluated by stratified 10-part cross-validation, and it was confirmed that the interaction could be classified with 98.5% accuracy. Then we also estimated the bending curvature of the device. We bent the device along the five different radius cylinders and acquired 10 data for each. The curvature is calculated from the radius of cylinders. We evaluated the accuracy of SVR estimation by 10-part cross-validation and got 0.93 coefficient of determination(R2).","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this study, we propose an input device using a soft and transparent gel and a system to estimate 3D interactions to the soft materials using the device. The device consists of a soft and transparent urethane resin, infrared LEDs, and infrared phototransistors. By deforming the device, the LED light intensity passing through the transparent gel changes. We propose a system to esitimate the deformation of the device by machine learning from the feature values of phototransistors that changes in response to the light. As an evaluation experiment, we classified 13 different interactions using two hands and evaluated the accuracy of the system. We acquired data 10 times for each interaction and classified them using SVM. The classification accuracy was evaluated by stratified 10-part cross-validation, and it was confirmed that the interaction could be classified with 98.5% accuracy. Then we also estimated the bending curvature of the device. We bent the device along the five different radius cylinders and acquired 10 data for each. The curvature is calculated from the radius of cylinders. We evaluated the accuracy of SVR estimation by 10-part cross-validation and got 0.93 coefficient of determination(R2).","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告エンタテインメントコンピューティング（EC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-05-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"29","bibliographicVolumeNumber":"2023-EC-68"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:25:36.895940+00:00","id":226135,"links":{}}