WEKO3
アイテム
Food Recognition via Monitoring Power Leakage from a Microwave Oven
https://ipsj.ixsq.nii.ac.jp/records/145448
https://ipsj.ixsq.nii.ac.jp/records/145448d20b1329-3ae5-49d0-a364-183c798c9666
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-TCDS0504013.pdf (1.6 MB)
|
Copyright (c) 2015 by the Information Processing Society of Japan
|
|
| オープンアクセス | ||
| Item type | Trans(1) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2015-10-03 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Food Recognition via Monitoring Power Leakage from a Microwave Oven | |||||||||||||
| タイトル | ||||||||||||||
| 言語 | en | |||||||||||||
| タイトル | Food Recognition via Monitoring Power Leakage from a Microwave Oven | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | [コンシューマ・サービス論文] food recognition, power leakage, microwave oven, USRP, Wi-Fi access point | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
| 資源タイプ | journal article | |||||||||||||
| 著者所属 | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo | ||||||||||||||
| 著者所属 | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo | ||||||||||||||
| 著者所属 | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo／JST PRESTO | ||||||||||||||
| 著者所属 | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo | ||||||||||||||
| 著者所属(英) | ||||||||||||||
| en | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo | ||||||||||||||
| 著者所属(英) | ||||||||||||||
| en | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo | ||||||||||||||
| 著者所属(英) | ||||||||||||||
| en | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo / JST PRESTO | ||||||||||||||
| 著者所属(英) | ||||||||||||||
| en | ||||||||||||||
| Graduate School of Information Science and Technology, The University of Tokyo | ||||||||||||||
| 著者名 |
Wei, Wei
× Wei, Wei
× Akihiro, Nakamata
× Yoshihiro, Kawahara
× Tohru, Asami
|
|||||||||||||
| 著者名(英) |
Wei, Wei
× Wei, Wei
× Akihiro, Nakamata
× Yoshihiro, Kawahara
× Tohru, Asami
|
|||||||||||||
| 論文抄録 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 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------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.23(2015) No.6(online) ------------------------------ |
|||||||||||||
| 論文抄録(英) | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 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------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.23(2015) No.6(online) ------------------------------ |
|||||||||||||
| 書誌レコードID | ||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||
| 収録物識別子 | AA12628043 | |||||||||||||
| 書誌情報 |
情報処理学会論文誌コンシューマ・デバイス＆システム（CDS） 巻 5, 号 4, 発行日 2015-10-03 |
|||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||
| 収録物識別子 | 2186-5728 | |||||||||||||
| 出版者 | ||||||||||||||
| 言語 | ja | |||||||||||||
| 出版者 | 情報処理学会 | |||||||||||||
