Multichannel Odor Sensor System using Chemosensitive Resistors and Machine Learning

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

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    抄録

    In this study, we have fabricated multichannel odor sensor using chemosensitive resistors. The chemosensitive resistors were made from complex of carbon black and gas chromatography stationary materials (GC materials). The electrical resistance of the chemosensitive resistor changed by sensing gas species. We have fabricated an odor sensor chip, which had 16 types of chemosensitive resistors. In addition, we developed a measurement instrument with compact size. The odor sensor chip was embedded in the instrument to construct an odor sensor system. The sensor system outputted the data of 16 channels if sensing gas species. The data have been analyzed using machine learning algorithms that were available on software Weka. As a result, it was successful to identify alcohol beverages by sensing their odor using the sensor system.

    本文言語英語
    ホスト出版物のタイトルISOEN 2019 - 18th International Symposium on Olfaction and Electronic Nose, Proceedings
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781538683279
    DOI
    出版ステータス出版済み - 5 2019
    イベント18th International Symposium on Olfaction and Electronic Nose, ISOEN 2019 - Fukuoka, 日本
    継続期間: 5 26 20195 29 2019

    出版物シリーズ

    名前ISOEN 2019 - 18th International Symposium on Olfaction and Electronic Nose, Proceedings

    会議

    会議18th International Symposium on Olfaction and Electronic Nose, ISOEN 2019
    Country日本
    CityFukuoka
    Period5/26/195/29/19

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Instrumentation

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