Malodour classification with low-cost flexible electronics

Malodour classification with low-cost flexible electronics

Designing machine learning hardware on flexible substrates is promising for several applications. Here, the authors propose an integrated smart system built with low-cost flexible electronics components for classifying human malodour, and demonstrates that the proposed system scores malodour as good...

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Bibliographic Details
Main Authors: Emre Ozer, Jedrzej Kufel, John Biggs, Anjit Rana, Francisco J. Rodriguez, Thomas Lee-Clark, Antony Sou, Catherine Ramsdale, Scott White, Suresh Kumar Garlapati, Palaniappan Valliappan, Aiman Rahmanudin, Venuskrishnan Komanduri, Glenn Sunley Saez, Sankara Gollu, Gavin Brown, Piotr Dudek, Krishna C. Persaud, Michael L. Turner, Stephanie Murray, Susan Bates, Robert Treloar, Brian Newby, Jane Ford
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-36104-z

Internet

https://doi.org/10.1038/s41467-023-36104-z

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