電気学会論文誌E(センサ・マイクロマシン部門誌)
Online ISSN : 1347-5525
Print ISSN : 1341-8939
論文
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
野村 健太南保 英孝木村 春彦
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ジャーナル 認証あり

2014 年 134 巻 7 号 p. 206-211

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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.

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