{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218071","sets":["1164:3980:10839:10913"]},"path":["10913"],"owner":"44499","recid":"218071","title":["スマートホームにおける一般被験者の生活行動ラベリング精度の調査と改善のための一検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-05-19"},"_buckets":{"deposit":"2130e0cb-a021-4b58-bc89-eb95ef671c85"},"_deposit":{"id":"218071","pid":{"type":"depid","value":"218071","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"スマートホームにおける一般被験者の生活行動ラベリング精度の調査と改善のための一検討","author_link":["566273","566275","566277","566274","566278","566279","566272","566276"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スマートホームにおける一般被験者の生活行動ラベリング精度の調査と改善のための一検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"センシング・スマートハウス","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-05-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学／理化学研究所革新知能統合研究センター（AIP）"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"奈良先端科学技術大学院大学／理化学研究所革新知能統合研究センター（AIP）"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology / RIKEN Center for Advanced Intelligence Project (AIP)","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT DOCOMO Inc.","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology / RIKEN Center for Advanced Intelligence Project (AIP)","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/218071/files/IPSJ-ITS22089023.pdf","label":"IPSJ-ITS22089023.pdf"},"date":[{"dateType":"Available","dateValue":"2024-05-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ITS22089023.pdf","filesize":[{"value":"2.6 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由太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"堀口, 賞一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安本, 慶一"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11515904","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":"2188-8965","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"高精度の宅内生活行動認識モデルを構築するためには，高精度の行動ラベリングが求められる．本研究では，IoT スマートホームにおいて，13 種類の各生活行動について開始と終了のタイミングを厳密に定義した上で，アプリ設計者および一般被験者からセンサデータおよび行動ラベルデータを収集し，それぞれ行動認識モデルを構築し精度の比較を行った．その結果，アプリ設計者が記録したラベルとセンサデータで構築したモデルの精度/F 値が 0.84/0.60 であったのに対し，一般被験者が記録したラベルとセンサデータによるモデルの精度/F 値は 0.43/0.22 にとどまったことから，一般の被験者は正確なラベリングができていないことが分かった．そこで，一般被験者による行動ラベリングの精度を向上させるため，任意のタイミングで現在行っている行動を質問するシステムを開発し，その有効性を検討するための予備実験を行った．予備実験で収集されたデータを分析した結果，質問による行動ラベリングによって，モデルの認識精度が向上し，被験者の行動記録にかかる負担が軽減される可能性が示唆された．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告高度交通システムとスマートコミュニティ（ITS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-05-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"23","bibliographicVolumeNumber":"2022-ITS-89"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218071,"updated":"2025-01-19T15:17:04.445099+00:00","links":{},"created":"2025-01-19T01:18:29.538211+00:00"}