Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

Damien Drix; Michael Schmuker; Nik Dennler

doi:10.1109/ISOEN54820.2022.9789654

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

Damien Drix, Michael Schmuker, Nik Dennler

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

A café, the metro, a supermarket, a book store - many locations of everyday life have a specific smell. Recognising such olfactory scenes could inform personal activity tracking, environmental monitoring, and assist robotic navigation. Yet it is unclear if current Metal-oxide (MOx) sensor technology is sensitive and specific enough to achieve this. Factors like sensor drift, and sensitivity to ambient humidity and temperature further complicate the recognition of olfactory scenes. Hotplate temperature modulation has been suggested as a method to counter these drawbacks. We present an electronic nose based on MEMS-MOx sensors that support rapid hotplate temperature modulation with a 150 ms period. We recorded different natural olfactory scenes in an urban context. A linear SVM was able to recognise four olfactory scenes in single hotplate cycles with near-perfect performance when trained and tested on the same day, and 73% accuracy when tested in the same locations on the next day. Gas sensor responses yielded higher recognition accuracy than humidity, temperature, and pressure, which were also partly-location specific. Our results indicate that hotplate modulation enables recognition of natural odor scenes across extended timespans. These findings encourage the use of MOx-sensors as rapid sensing devices in natural, uncontrolled environments.

Original language	English
Title of host publication	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Place of Publication	Aveiro, Portugal
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	4
ISBN (Electronic)	978-1-6654-5860-3
ISBN (Print)	978-1-6654-5861-0
DOIs	https://doi.org/10.1109/ISOEN54820.2022.9789654
Publication status	Published - 10 Jun 2022
Event	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) - Aveiro, Portugal Duration: 29 May 2022 → 1 Jun 2022 https://ieeexplore.ieee.org/xpl/conhome/9789551/proceeding

Conference

Conference	2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Abbreviated title	ISOEN 2022
Country/Territory	Portugal
City	Aveiro
Period	29/05/22 → 1/06/22
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9789551/proceeding

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10.1109/ISOEN54820.2022.9789654Licence: Unspecified

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© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/ISOEN54820.2022.9789654
Accepted author manuscript, 2.89 MBLicence: Unspecified

Cite this

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title = "Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation",

abstract = "A caf{\'e}, the metro, a supermarket, a book store - many locations of everyday life have a specific smell. Recognising such olfactory scenes could inform personal activity tracking, environmental monitoring, and assist robotic navigation. Yet it is unclear if current Metal-oxide (MOx) sensor technology is sensitive and specific enough to achieve this. Factors like sensor drift, and sensitivity to ambient humidity and temperature further complicate the recognition of olfactory scenes. Hotplate temperature modulation has been suggested as a method to counter these drawbacks. We present an electronic nose based on MEMS-MOx sensors that support rapid hotplate temperature modulation with a 150 ms period. We recorded different natural olfactory scenes in an urban context. A linear SVM was able to recognise four olfactory scenes in single hotplate cycles with near-perfect performance when trained and tested on the same day, and 73% accuracy when tested in the same locations on the next day. Gas sensor responses yielded higher recognition accuracy than humidity, temperature, and pressure, which were also partly-location specific. Our results indicate that hotplate modulation enables recognition of natural odor scenes across extended timespans. These findings encourage the use of MOx-sensors as rapid sensing devices in natural, uncontrolled environments.",

author = "Damien Drix and Michael Schmuker and Nik Dennler",

note = "{\textcopyright} 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/ISOEN54820.2022.9789654; 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), ISOEN 2022 ; Conference date: 29-05-2022 Through 01-06-2022",

year = "2022",

month = jun,

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language = "English",

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booktitle = "2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Drix, D, Schmuker, M & Dennler, N 2022, Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation. in 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Institute of Electrical and Electronics Engineers (IEEE), Aveiro, Portugal, 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), Aveiro, Portugal, 29/05/22. https://doi.org/10.1109/ISOEN54820.2022.9789654

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation. / Drix, Damien; Schmuker, Michael; Dennler, Nik.
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Aveiro, Portugal: Institute of Electrical and Electronics Engineers (IEEE), 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

AU - Drix, Damien

AU - Schmuker, Michael

AU - Dennler, Nik

N1 - © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/ISOEN54820.2022.9789654

PY - 2022/6/10

Y1 - 2022/6/10

N2 - A café, the metro, a supermarket, a book store - many locations of everyday life have a specific smell. Recognising such olfactory scenes could inform personal activity tracking, environmental monitoring, and assist robotic navigation. Yet it is unclear if current Metal-oxide (MOx) sensor technology is sensitive and specific enough to achieve this. Factors like sensor drift, and sensitivity to ambient humidity and temperature further complicate the recognition of olfactory scenes. Hotplate temperature modulation has been suggested as a method to counter these drawbacks. We present an electronic nose based on MEMS-MOx sensors that support rapid hotplate temperature modulation with a 150 ms period. We recorded different natural olfactory scenes in an urban context. A linear SVM was able to recognise four olfactory scenes in single hotplate cycles with near-perfect performance when trained and tested on the same day, and 73% accuracy when tested in the same locations on the next day. Gas sensor responses yielded higher recognition accuracy than humidity, temperature, and pressure, which were also partly-location specific. Our results indicate that hotplate modulation enables recognition of natural odor scenes across extended timespans. These findings encourage the use of MOx-sensors as rapid sensing devices in natural, uncontrolled environments.

AB - A café, the metro, a supermarket, a book store - many locations of everyday life have a specific smell. Recognising such olfactory scenes could inform personal activity tracking, environmental monitoring, and assist robotic navigation. Yet it is unclear if current Metal-oxide (MOx) sensor technology is sensitive and specific enough to achieve this. Factors like sensor drift, and sensitivity to ambient humidity and temperature further complicate the recognition of olfactory scenes. Hotplate temperature modulation has been suggested as a method to counter these drawbacks. We present an electronic nose based on MEMS-MOx sensors that support rapid hotplate temperature modulation with a 150 ms period. We recorded different natural olfactory scenes in an urban context. A linear SVM was able to recognise four olfactory scenes in single hotplate cycles with near-perfect performance when trained and tested on the same day, and 73% accuracy when tested in the same locations on the next day. Gas sensor responses yielded higher recognition accuracy than humidity, temperature, and pressure, which were also partly-location specific. Our results indicate that hotplate modulation enables recognition of natural odor scenes across extended timespans. These findings encourage the use of MOx-sensors as rapid sensing devices in natural, uncontrolled environments.

U2 - 10.1109/ISOEN54820.2022.9789654

DO - 10.1109/ISOEN54820.2022.9789654

M3 - Conference contribution

SN - 978-1-6654-5861-0

BT - 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Aveiro, Portugal

T2 - 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)

Y2 - 29 May 2022 through 1 June 2022

ER -

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

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