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ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study

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Auteur
Mitsou 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.
Date
2022
Language
en
DOI
10.1145/3529190.3534784
Sujet
Assistive technology
Cameras
Computer vision
Object detection
Obstacle detectors
Search engines
Stereo image processing
Assistive
Assistive system
Cloud infrastructures
Evaluation study
Objects detection
Obstacles avoidance
Streaming
User evaluations
Vision-based system
Visually impaired
Deep neural networks
Association for Computing Machinery
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Résumé
Visual 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.
URI
http://hdl.handle.net/11615/76690
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