Suppression of Background Odor Effect in Odor Sensing System Using Olfactory Adaptation Model

• Ohba Tsuneaki

  Department of Electrical & Electronics Engineering, Sophia University

• Yamanaka Takao

  Department of Electrical & Electronics Engineering, Sophia University

抄録

In this study, a new method for suppressing the background odor effect is proposed. Since odor sensors response to background odors in addition to a target odor, it is difficult to detect the target odor information. In the conventional odor sensing systems, the effect of the background odors are compensated by subtracting the response to the background odors (the baseline response). Although this simple subtraction method is effective for constant background odors, it fails in the compensation for time-varying background odors. The proposed method for the background suppression is effective even for the time-varying background odors.

収録刊行物

• 電気学会論文誌Ｅ（センサ・マイクロマシン部門誌）

  電気学会論文誌Ｅ（センサ・マイクロマシン部門誌） 128 (5), 240-245, 2008

  一般社団法人 電気学会

キーワード

• odor-sensing system
• adaptation
• anti-hebbian learning
• perceptron type neural network

詳細情報

• CRID: 1390282679437359488
• NII論文ID: 10021135382
• NII書誌ID: AN1052634X
• DOI: 10.1541/ieejsmas.128.240
• ISSN: 13475525
• ISSN: 13418939
• NDL書誌ID: 9496233
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9496233
• Web Site: http://www.jstage.jst.go.jp/article/ieejsmas/128/5/128_5_240/_pdf
• 本文言語コード: en
• データソース種別:
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  • NDL
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