Predicting the colour associated with odours using an electronic nose

Ward, Ryan ORCID: 0000-0002-9850-5191, Rahman, Shammi, Wuerger, Sophie and Marshall, Alan (2021) Predicting the colour associated with odours using an electronic nose. In: Proceedings of the Workshop on Multisensory Experiences.

Text Ward, Wuerger, Marshall - 2021 - Predicting the colour associated with odours using an electronic nose.pdf - Author Accepted Manuscript Download (375kB) | Preview

Abstract

<jats:p>Predicting olfactory perception with an electronic nose can aid in the design and evaluation of olfactory-based experiences. We investigate whether the human perception of odours can be predicted outside the bounds of perceived pleasantness and semantic descriptors. We tuned an electronic nose to predict an odour's colour in the CIELAB colour space using human judgements. This revealed that the crossmodal associations people have towards colours could be predicted. Our electronic nose system can predict an odour's colour with a 70 – 81% machine-human similarity rating. These findings suggest a systematic and predictable link exists between the chemical features of odours and the colour associated to them. These findings highlight the possibilities of predicting human olfactory perception using an electronic nose.</jats:p>

Item Type:	Conference or Workshop Item (Unspecified)
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	25 Aug 2021 11:20
Last Modified:	18 Jan 2023 21:32
DOI:	10.5753/sensoryx.2021.15683
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3134699