{"id":145448,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00145448","sets":["934:6391:7817:8326"]},"path":["8326"],"owner":"11","recid":"145448","title":["Food Recognition via Monitoring Power Leakage from a Microwave Oven"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-10-03"},"_buckets":{"deposit":"88ee41ca-f454-4f20-a439-9f34a95c349c"},"_deposit":{"id":"145448","pid":{"type":"depid","value":"145448","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Food Recognition via Monitoring Power Leakage from a Microwave Oven","author_link":["224349","224346","224345","224344","224347","224342","224343","224348"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Food Recognition via Monitoring Power Leakage from a Microwave Oven"},{"subitem_title":"Food Recognition via Monitoring Power Leakage from a Microwave Oven","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[コンシューマ・サービス論文] food recognition, power leakage, microwave oven, USRP, Wi-Fi access point","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2015-10-03","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo／JST PRESTO"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo / JST PRESTO","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo","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":11,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/145448/files/IPSJ-TCDS0504013.pdf","label":"IPSJ-TCDS0504013.pdf"},"date":[{"dateType":"Available","dateValue":"2017-10-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCDS0504013.pdf","filesize":[{"value":"1.6 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"47"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"40ec76b9-4b87-4d3f-94c2-17e0c54819b0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wei, Wei"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihiro, Nakamata"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshihiro, Kawahara"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tohru, Asami"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wei, Wei","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihiro, Nakamata","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshihiro, Kawahara","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tohru, Asami","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628043","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2186-5728","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we demonstrate a food recognition method by monitoring power leakage from a domestic microwave oven. Universal Software Radio Peripheral (USRP) is applied as a low-cost spectrum analyzer to measure the microwave oven leakage as received signal strength indication (RSSI). We aim to recognize 18 categories of food that are commonly cooked in a microwave oven. By analyzing 180 features that contain the information of heating-time difference, we attain an average recognition accuracy of 82.3%. Using 138 features excluding the heating-time difference information, the average recognition accuracy is 56.2%. The recognition accuracy under different conditions is also investigated, for instance, utilizing different microwave ovens, different distances between the microwave oven and the USRP as well as different data down-sampling rates. Finally, a food recognition application is implemented to demonstrate our method.\n\\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.23(2015) No.6(online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we demonstrate a food recognition method by monitoring power leakage from a domestic microwave oven. Universal Software Radio Peripheral (USRP) is applied as a low-cost spectrum analyzer to measure the microwave oven leakage as received signal strength indication (RSSI). We aim to recognize 18 categories of food that are commonly cooked in a microwave oven. By analyzing 180 features that contain the information of heating-time difference, we attain an average recognition accuracy of 82.3%. Using 138 features excluding the heating-time difference information, the average recognition accuracy is 56.2%. The recognition accuracy under different conditions is also investigated, for instance, utilizing different microwave ovens, different distances between the microwave oven and the USRP as well as different data down-sampling rates. Finally, a food recognition application is implemented to demonstrate our method.\n\\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.23(2015) No.6(online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2015-10-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"5"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T06:42:49.943069+00:00","created":"2025-01-19T00:21:04.968421+00:00","links":{}}