Olfactory-based Augmented Reality Support for Industrial Maintenance

Simple item page
dc.contributor.authorahmet Erkoyuncu, John
dc.date.accessioned2024-06-07T03:32:21Z
dc.date.available2024-06-07T03:32:21Z
dc.date.issued2020-01-14 16:19
dc.description.abstractAugmented reality (AR) applications have opened innovative ways for performance improvement in the IoT industry. It can enhance user perception of the real-world by providing valuable information about an industrial environment and provide visual virtual information onto a head-mounted device (HMD). Such information is important for maintainers to quickly detect abnormalities, reduce nugatory routinesand facilitate preventive maintenance activities. Since odors are made up of volatile compounds at low concentration, they can be used for olfactory-based identification. The article outlines the development an olfactory-based AR system to help with the identification of maintenance issues using smell. The prototype comprises of three components: an electronic nose, a database and an AR application integrated with Microsoft HoloLens. After diagnosing an odor, the data is sent wirelessly through a local network to the HMD worn by the user. To validate the technology, four odors have been used, including engine oil, sun lotion, medical alcohol and perfume, to record behaviors and demonstrate the repeatability of the process. The presented technology incorporates sampling methods, cleaning processes and statistical analysis that can be further scrutinized to allow better smell augmentation for diagnosis.
dc.description.sponsorshipEP/R013950/1
dc.identifier.citationErkoyuncu, John ahmet (2020). Olfactory-based Augmented Reality Support for Industrial Maintenance. Cranfield Online Research Data (CORD). Journal contribution. https://doi.org/10.17862/cranfield.rd.11587053
dc.identifier.doi10.17862/cranfield.rd.11587053
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22080
dc.publisherCranfield University
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject'smell identification task'
dc.subject'Augmented Reality,'
dc.subject'Computer Engineering'
dc.subject'Control Systems
dc.subjectRobotics and Automation'
dc.titleOlfactory-based Augmented Reality Support for Industrial Maintenance
dc.typeDataset

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Experiments and results.docx
Size:
351.13 KB
Format:
Microsoft Word XML
Download

Collections

Manufacturing and Materials