植物生体電位を用いた人の振る舞い認知システムの開発

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2014/07/01

タイトル(英語): Development of Basic Human Behaviors Cognitive System using Plant Bioelectric Potential

著者名: 野村　健太（金沢大学・自然科学研究科），南保　英孝（金沢大学・自然科学研究科），木村　春彦（金沢大学・自然科学研究科）

著者名(英語): Kenta Nomura (Graduate School of Natural Science & Technology, Kanazawa University), Hidetaka Nambo (Graduate School of Natural Science & Technology, Kanazawa University), Haruhiko Kimura (Graduate School of Natural Science & Technology, Kanazawa University)

キーワード: 植物生体電位，振る舞い認知，ケプストラム分析，センサシステム　　plant bioelectric potential，recognition of basic human behaviors，cepstrum analysis，sensory system

要約(英語): In this paper, we investigated influence on plant bioelectric potential by basic human behaviors. We analyzed four basic human behaviors such as touching the plant, opening the door, approaching the plant and turning on the lighting. As a result, the special response of bioelectric potential were influenced by each behavior. Bioelectric potential shows the impulse responses due to the behavior. Therefore we tried to learn and recognize human behaviors by extracting a characteristic from plant bioelectric potential. The method to recognize basic human behaviors that we propose uses a low level ingredient of cepstrum of plant bioelectric potential. Some data didn't recognize correctly because of individual difference of human behaviors, however, F-measure became an average of 0.76. It shows that the proposal method may be effective way to recognize basic human behaviors from plant bioelectric potential.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.134 No.7 （2014） 特集：フィジカルセンサの基礎

本誌掲載ページ: 206-211 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/ieejsmas/134/7/134_206/_article/-char/ja/