Odor Sensor System Using Chemosensitive Resistor Array and Machine Learning

Rui Yatabe, Atsushi Shunori, Bartosz Wyszynski, Yosuke Hanai, Atsuo Nakao, Masaya Nakatani, Akio Oki, Hiroaki Oka, Takashi Washio, Kiyoshi Toko

研究成果: Contribution to journalArticle査読

抄録

In this study, we developed an odor sensor system using chemosensitive resistors, which outputted multichannel data. Mixtures of gas chromatography stationary materials (GC materials) and carbon black were used as the chemosensitive resistors. The interaction between the chemosensitive resistors and gas species shifted the electrical resistance of the resistors. Sixteen different chemosensitive resistors were fabricated on an odor sensor chip. In addition, a compact measurement instrument was fabricated. Sixteen channel data were obtained from the measurements of gas species using the instrument. The data were analyzed using machine learning algorithms available on Weka software. As a result, the sensor system successfully identified alcoholic beverages. Finally, we demonstrated the classification of restroom odor in a field test. The classification was successful with an accuracy of 97.9%.

本文言語英語
論文番号9167294
ページ(範囲)2077-2083
ページ数7
ジャーナルIEEE Sensors Journal
21
2
DOI
出版ステータス出版済み - 1 15 2021

All Science Journal Classification (ASJC) codes

  • 器械工学
  • 電子工学および電気工学

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