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Estimating Physical Characteristics with Body-worn Accelerometers Based on Activity Similarities
https://ipsj.ixsq.nii.ac.jp/records/148204
https://ipsj.ixsq.nii.ac.jp/records/1482048a885560-cc55-443f-a5f1-fa285f91383d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL5702031.pdf (577.4 kB)
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Copyright (c) 2016 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||
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| 公開日 | 2016-02-15 | |||||||||
| タイトル | ||||||||||
| タイトル | Estimating Physical Characteristics with Body-worn Accelerometers Based on Activity Similarities | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Estimating Physical Characteristics with Body-worn Accelerometers Based on Activity Similarities | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [特集：ネットワークサービスと分散処理] activity sensing, accelerometers, physical characteristics | |||||||||
| 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, Osaka University | ||||||||||
| 著者所属 | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Graduate School of Information Science and Technology, Osaka University | ||||||||||
| 著者名 |
Akira, Masuda
× Akira, Masuda
× Takuya, Maekawa
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| 著者名(英) |
Akira, Masuda
× Akira, Masuda
× Takuya, Maekawa
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This paper describes our experimental investigation of the end user physical characteristics (e.g., gender, height, weight, dominant hand, and skill at sport) that can be successfully estimated solely from sensor data obtained during daily activities (e.g., walking and dish washing) from body-worn accelerometers. For this purpose we use the huge quantities of data that we have collected, which include 14,880 labeled activities obtained from 61 subjects. Our proposed method tries to estimate various kinds of characteristics based on our simple idea ‘When the activity sensor data of two users are similar, the physical characteristics of the two users may also be similar.’ We consider that estimating the end user's physical characteristics will enable us to realize new kinds of applications that automatically recommend information/services to an end user according to her estimated physical characteristics such as gender and weight. \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.24(2016) No.2 (online) ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This paper describes our experimental investigation of the end user physical characteristics (e.g., gender, height, weight, dominant hand, and skill at sport) that can be successfully estimated solely from sensor data obtained during daily activities (e.g., walking and dish washing) from body-worn accelerometers. For this purpose we use the huge quantities of data that we have collected, which include 14,880 labeled activities obtained from 61 subjects. Our proposed method tries to estimate various kinds of characteristics based on our simple idea ‘When the activity sensor data of two users are similar, the physical characteristics of the two users may also be similar.’ We consider that estimating the end user's physical characteristics will enable us to realize new kinds of applications that automatically recommend information/services to an end user according to her estimated physical characteristics such as gender and weight. \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.24(2016) No.2 (online) ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00116647 | |||||||||
| 書誌情報 |
情報処理学会論文誌 巻 57, 号 2, 発行日 2016-02-15 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||
