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dc.contributor.authorDrix, Damien
dc.contributor.authorSchmuker, Michael
dc.date.accessioned2021-02-05T14:14:36Z
dc.date.available2021-02-05T14:14:36Z
dc.date.issued2021-03-26
dc.identifier.citationDrix , D & Schmuker , M 2021 , ' Resolving Fast Gas Transients with Metal Oxide Sensors ' , ACS Sensors , vol. 6 , no. 3 , pp. 688-692 . https://doi.org/10.1021/acssensors.0c02006
dc.identifier.issn2379-3694
dc.identifier.otherPURE: 24471345
dc.identifier.otherPURE UUID: 916905af-e613-4552-aa3e-66c4bbed1c89
dc.identifier.otherScopus: 85101022894
dc.identifier.urihttp://hdl.handle.net/2299/23850
dc.description© 2021 American Chemical Society. This is an Open Access article. https://creativecommons.org/licenses/by/4.0/
dc.description.abstractElectronic olfaction can help detect and localize harmful gases and pollutants, but the turbulence of the natural environment presents a particular challenge: Odor encounters are intermittent, and an effective electronic nose must therefore be able to resolve short odor pulses. The slow responses of the widely used metal oxide (MOX) gas sensors complicate the task. Here, we combine high-resolution data acquisition with a processing method based on Kalman filtering and absolute-deadband sampling to extract fast onset events. We find that our system can resolve the onset time of odor encounters with enough precision for source direction estimation with a pair of MOX sensors in a stereo-osmic configuration.en
dc.format.extent5
dc.language.isoeng
dc.relation.ispartofACS Sensors
dc.subjectAccelerated gas sensing
dc.subjectEvent-based sampling
dc.subjectKalman filter
dc.subjectMetal oxide sensors
dc.subjectNeuromorphic
dc.subjectBioengineering
dc.subjectInstrumentation
dc.subjectProcess Chemistry and Technology
dc.subjectFluid Flow and Transfer Processes
dc.titleResolving Fast Gas Transients with Metal Oxide Sensorsen
dc.contributor.institutionCentre of Data Innovation Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85101022894&partnerID=8YFLogxK
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1021/acssensors.0c02006
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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