{"created":"2025-01-19T01:44:38.301133+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240445","sets":["1164:3865:11476:11782"]},"path":["11782"],"owner":"44499","recid":"240445","title":["W-GANを用いた車両運転時のEEG予測の検証"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-10-29"},"_buckets":{"deposit":"2d042be9-378d-4723-9a9f-1df47a920ca4"},"_deposit":{"id":"240445","pid":{"type":"depid","value":"240445","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"W-GANを用いた車両運転時のEEG予測の検証","author_link":["659626","659627","659625"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"W-GANを用いた車両運転時のEEG予測の検証"},{"subitem_title":"Validation of Forecasting EEG for Vehicle Operation Using W-GAN","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般セッション3","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-10-29","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本アイ・ビー・エム(株)研究開発ソフトウェア開発IoT開発"},{"subitem_text_value":"日本アイ・ビー・エム(株)研究開発ソフトウェア開発IoT開発"},{"subitem_text_value":"日本アイ・ビー・エム(株)研究開発ソフトウェア開発IoT開発"}]},"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/240445/files/IPSJ-MBL24113020.pdf","label":"IPSJ-MBL24113020.pdf"},"date":[{"dateType":"Available","dateValue":"2026-10-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL24113020.pdf","filesize":[{"value":"1.6 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"339a1eda-25f7-416e-a41d-e2cf4573a58b","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":"石川, 高志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高崎, 兼一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安部, 麻里"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","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":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"脳波 (electroencephalogram，EEG) は，身体動作が実際になされる前にその予兆が発現する，数少ない生体信号の一つである．車両運転時における EEG の解析手法の発展により，危険な状況をなるべく早期に検知し未然に防ぐことが期待される．筆者らは，これまで敵対的生成ネットワークを用いた EEG 予測手法として W-GAN を提案し，基礎的な動作を指示した際の EEG (BCI Comp．EEG) を用いて，有効性の検証を行ってきた．本稿では，運転シミュレーションに取り組んでいる間の脳波データ (Driver's EEG) についても，提案手法が有効であるかどうか評価を行った．検証には，他の学習モデルである ForGAN，TCN2 種類を比較対象とし，評価指標に MASE を用いた．さらに，予測波形の周波数成分の精度に FC-sMAPE を用いた．実験の結果，予測波形については TCN が最も精度が高かった一方で，周波数成分については W-GAN と ForGAN が精度が高かった．W-GAN は BCI Comp．EEG 及び Driver's EEG 双方に対して，周波数成分の再現性において優れた性能を発揮した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングと新社会システム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-10-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"20","bibliographicVolumeNumber":"2024-MBL-113"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":240445,"updated":"2025-01-19T07:58:42.815661+00:00","links":{}}