Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1002
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dc.contributor.authorPeiris, H-
dc.contributor.authorKulasekara, C-
dc.contributor.authorWijesinghe, H-
dc.contributor.authorKothalawala, B-
dc.contributor.authorWalgampaya, N-
dc.contributor.authorKasthurirathna, D-
dc.date.accessioned2022-02-07T10:13:34Z-
dc.date.available2022-02-07T10:13:34Z-
dc.date.issued2016-12-16-
dc.identifier.citationH. Peiris, C. Kulasekara, H. Wijesinghe, B. Kothalawala, N. Walgampaya and D. Kasthurirathna, "EyeVista: An assistive wearable device for visually impaired sprint athletes," 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016, pp. 1-6, doi: 10.1109/ICIAFS.2016.7946558.en_US
dc.identifier.issn2151-1810-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1002-
dc.description.abstractOn-going progressions of Information Technology increase the scope for computer vision-based interventions to facilitate efficient and promising technology for people with disabilities. This project aims to develop a wearable navigational assistive device, titled EyeVista, to facilitate visually impaired sprint athletes. It is a lightweight, easy-to-use, customizable and low-cost wearable jacket built-in with off-the-shelf based on computer vision techniques. Synthesis of research initially reflects the impact of the main barriers of a human guide and how to break down such barriers. In doing so, we hope to introduce an alternative to the current practice of having a human guide for blind athletes, overcoming the shortcomings of it. The designed system uses Raspberry Pi single board computer to process the real-time image captured by Raspberry Pi camera module to navigate the athletes within the assigned track and to avoid collisions. As a result, we believe the project EyeVista will empower the visually impaired sprint athletes to enhance their performance by easing their mobility by allowing the user to move within their relevant track lanes and avoid collisions without the support of a human guide and enhance the independence, safety along with the quality of life.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS);Pages 1-6-
dc.subjectEyeVistaen_US
dc.subjectassistive wearableen_US
dc.subjectwearable deviceen_US
dc.subjectvisually impaireden_US
dc.subjectsprint athletesen_US
dc.titleEyeVista: An assistive wearable device for visually impaired sprint athletesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICIAFS.2016.7946558en_US
Appears in Collections:Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - School of Natural Sciences
Research Papers - SLIIT Staff Publications

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