Ward, Ryan J
ORCID: 0000-0002-9850-5191, Jjunju, Fred PM
ORCID: 0000-0001-6257-434X, Griffith, Elias J
ORCID: 0000-0001-9360-381X, Wuerger, Sophie M
ORCID: 0000-0003-0080-5813 and Marshall, Alan
ORCID: 0000-0002-8058-5242
(2021)
Artificial Odour-Vision Syneasthesia via Olfactory Sensory Argumentation
IEEE Sensors Journal, 21 (5).
pp. 6784-6792.
ISSN 1530-437X, 2379-9153
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Text
09268132.pdf - Author Accepted Manuscript Download (1MB) | Preview |
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: | Olfactory, Sensor phenomena and characterization, Sensor arrays, Visualization, Gas detectors, Electronic noses, Engines, Augmented reality, e-nose, electronic nose, olfaction, syneasthesia, artificial syneasthesia, human-machine interface |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 11 Dec 2020 11:14 |
| Last Modified: | 01 Mar 2026 10:22 |
| DOI: | 10.1109/jsen.2020.3040114 |
| Open Access URL: | https://doi.org/10.1109/JSEN.2020.3040114 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3109985 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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