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アンビエントな着座揺動センシングによるデスクワークにおける筆記・非筆記状態識別

アンビエントな着座揺動センシングによるデスクワークにおける筆記・非筆記状態識別

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カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/02/01

タイトル(英語): Writing State Classification by Ambient Sedentary Behavior Sensing in Desk Work

著者名: 松本 翔平(大阪大学大学院基礎工学研究科),綿谷 亮(大阪大学大学院基礎工学研究科),岩井 大輔(大阪大学大学院基礎工学研究科),佐藤 宏介(大阪大学大学院基礎工学研究科)

著者名(英語): Shohei Matsumoto (Graduate School of Engineering Science, Osaka University), Ryo Wataya (Graduate School of Engineering Science, Osaka University), Daisuke Iwai (Graduate School of Engineering Science, Osaka University), Kosuke Sato (Graduate School of Engineering Science, Osaka University)

キーワード: センサ内蔵椅子,着座揺動,アンビエントセンシング,筆記状態識別  Sensing chair,Sedentary behavior,Ambient sensing,Writing state classification

要約(英語): This paper presents a writing state classification technique by a sedentary behavior sensing with a sensor equipped chair, which wirelessly monitors user's states such as his/her behaviors or physiological and psychological conditions, for the estimation of the user's subjective difficulty of a studying problem on a desktop. Avoiding user's discomfort, four load cells are equipped behind the seat plate of a regular office chair. The system simply measures the weight and the CoP (Center of Pressure) of the seat. These data are divided into time segments, which are labeled into four sedentary body sway primitives by the decision tree algorithm, and then the behaviors are derived from the number and the pitch of those primitives in a certain interval. System evaluation experiments resulted that it achieved more than 80% of labeling accuracy for the untrained users. We finally conducted a user experiment that shows its potential for desk work applications. The result of the experiment showed that our proposed system could classify user's states into writing state and the other states such as reading a document and watching movie at the classification rate of 87%.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.133 No.2 (2013) 特集:省電力時代の電子回路技術

本誌掲載ページ: 373-379 p

原稿種別: 論文/日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/2/133_373/_article/-char/ja/

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