{"created":"2025-01-19T01:28:47.655889+00:00","updated":"2025-01-19T11:30:40.239623+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229562","sets":["6504:11436:11437"]},"path":["11437"],"owner":"44499","recid":"229562","title":["FPGAを用いた低遅延脳波処理による眠気検知システムプロトタイプ"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"bbf5c32f-5f2e-4c98-aa59-03a1a487d70f"},"_deposit":{"id":"229562","pid":{"type":"depid","value":"229562","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"FPGAを用いた低遅延脳波処理による眠気検知システムプロトタイプ","author_link":["617487","617486","617484","617485"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"FPGAを用いた低遅延脳波処理による眠気検知システムプロトタイプ"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータシステム","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東海大"},{"subitem_text_value":"東海大"},{"subitem_text_value":"東海大"},{"subitem_text_value":"東海大"}]},"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/229562/files/IPSJ-Z85-4J-06.pdf","label":"IPSJ-Z85-4J-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4J-06.pdf","filesize":[{"value":"431.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"73d53a88-3e2a-4097-846d-04e599e6483b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"因間, 龍星"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中谷, 裕教"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"原, 雅剛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大川, 猛"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"脳波 (EEG) 計測により得られた信号に基づいて，脳活動のダイナミクスと認知機能の関係を探る研究は，現在主にオフラインでの波形処理に基づいて行われている。今後、脳波計測結果に基づいたBMI (Brain-Machine Interface) や映像提示フィードバックの活用や研究を推進するためには，FFT (Fast Fourier Transform) によって低遅延時間で脳波信号を処理する必要がある。本研究では、脳波に基づく眠気の検知を低遅延で行うためにFPGAを活用することを提案し、そのためにPythonからFPGAへアクセス可能なPYNQプラットフォームを用いた眠気検知システムプロトタイプの構築と性能評価について述べる","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"60","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"59","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229562,"links":{}}