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dc.creatorMitsou A., Koutsiou D.-C.C., Diamantis D.E., Psallidas T., Dimas G., Vasilakakis M., Kalozoumis P., Spyrou E., Perantonis S.J., Krukowski A., Iakovidis D.K.en
dc.date.accessioned2023-01-31T09:00:42Z
dc.date.available2023-01-31T09:00:42Z
dc.date.issued2022
dc.identifier10.1145/3529190.3534784
dc.identifier.isbn9781450396318
dc.identifier.urihttp://hdl.handle.net/11615/76690
dc.description.abstractVisual impairment affects a significantly large number of individuals and in many cases it may disturb their daily life. This study presents a novel prototype wearable device which aims to assist them in tasks such as navigation within outdoor sites of cultural interest, while it may be used to enhance their experience. It presents an overview of the system architecture, which includes a wearable component, a cloud infrastructure, and a remote assistant service. The wearable components is a set of smart glasses, equipped with a stereoscopic camera, serving as a link between the cloud infrastructure and the remote assisting service of the system. User evaluation trials of the system have been performed, focusing on the obstacle detection capabilities of the system, and preliminary results are reported. The results provide initial evidence about the usability of the system, and indicate its potential as a future assistive technology for people with impairments. © 2022 ACM.en
dc.language.isoenen
dc.sourceACM International Conference Proceeding Seriesen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85134431720&doi=10.1145%2f3529190.3534784&partnerID=40&md5=c771a6254eab9557cd28c0ab57550dce
dc.subjectAssistive technologyen
dc.subjectCamerasen
dc.subjectComputer visionen
dc.subjectObject detectionen
dc.subjectObstacle detectorsen
dc.subjectSearch enginesen
dc.subjectStereo image processingen
dc.subjectAssistiveen
dc.subjectAssistive systemen
dc.subjectCloud infrastructuresen
dc.subjectEvaluation studyen
dc.subjectObjects detectionen
dc.subjectObstacles avoidanceen
dc.subjectStreamingen
dc.subjectUser evaluationsen
dc.subjectVision-based systemen
dc.subjectVisually impaireden
dc.subjectDeep neural networksen
dc.subjectAssociation for Computing Machineryen
dc.titleENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Studyen
dc.typeconferenceItemen


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