Ward, RJ, Jjunju, FPM, Griffith, EJ, Wuerger, SM and Marshall, A (2020) Artificial Odour-Vision Syneasthesia via Olfactory Sensory Argumentation. IEEE Sensors Journal, 21 (5). pp. 6784-6792. ISSN 1530-437X

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Abstract

The phenomenology of synaesthesia provides numerous cognitive benefits, which could be used towards augmenting interactive experiences with more refined multisensorial capabilities leading to more engaging and enriched experiences, better designs, and more transparent human-machine interfaces. In this study, we report a novel framework for the transformation of odours into the visual domain by applying the ideology from synaesthesia, to a low cost, portable, augmented reality/virtual reality system. The benefits of generating an artificial form of synesthesia are outlined and implemented using a custom made electronic nose to gather information about odour sources which is then sent to a mobile computing engine for characterisation, classification, and visualisation. The odours are visualised in the form of coloured 2D abstract shapes in real-time. Our results show that our affordable system has the potential to increase human odour discrimination comparable to that of natural syneasthesia highlighting the prospects for augmenting human-machine interfaces with an artificial form of this phenomenon.

Item Type:	Article
Uncontrolled Keywords:	0205 Optical Physics; 0906 Electrical and Electronic Engineering; 0913 Mechanical Engineering; Analytical Chemistry
Subjects:	B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QC Physics T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions:	Computer Science & Mathematics
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
SWORD Depositor:	A Symplectic
Date Deposited:	06 Jun 2023 12:25
Last Modified:	20 Jun 2023 10:46
DOI or ID number:	10.1109/JSEN.2020.3040114
URI:	https://researchonline.ljmu.ac.uk/id/eprint/19614

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