Nature Communications (Feb 2023)
Malodour classification with low-cost flexible electronics
- 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
Affiliations
- Emre Ozer
- Pragmatic Semiconductor
- Jedrzej Kufel
- Pragmatic Semiconductor
- John Biggs
- Pragmatic Semiconductor
- Anjit Rana
- Pragmatic Semiconductor
- Francisco J. Rodriguez
- Pragmatic Semiconductor
- Thomas Lee-Clark
- Pragmatic Semiconductor
- Antony Sou
- Pragmatic Semiconductor
- Catherine Ramsdale
- Pragmatic Semiconductor
- Scott White
- Pragmatic Semiconductor
- Suresh Kumar Garlapati
- Indian Institute of Technology Hyderabad, Department of Materials Science and Metallurgical Engineering, Indian Institute of Technology Hyderabad
- Palaniappan Valliappan
- University of Manchester, University of Manchester
- Aiman Rahmanudin
- University of Manchester, University of Manchester
- Venuskrishnan Komanduri
- University of Manchester, University of Manchester
- Glenn Sunley Saez
- University of Manchester, University of Manchester
- Sankara Gollu
- University of Manchester, University of Manchester
- Gavin Brown
- University of Manchester, University of Manchester
- Piotr Dudek
- University of Manchester, University of Manchester
- Krishna C. Persaud
- University of Manchester, University of Manchester
- Michael L. Turner
- University of Manchester, University of Manchester
- Stephanie Murray
- Unilever, Port Sunlight Lab
- Susan Bates
- Unilever, Port Sunlight Lab
- Robert Treloar
- Unilever, Port Sunlight Lab
- Brian Newby
- Unilever, Port Sunlight Lab
- Jane Ford
- Unilever, Port Sunlight Lab
- DOI
- https://doi.org/10.1038/s41467-023-36104-z
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 9
Abstract
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 as expert human assessors.
