A computer vision-based assistive mobile application for the visually impaired
dc.contributor.author | Secondes, Arnel A. | |
dc.contributor.author | Otero, Nikki Anne Dominique D. | |
dc.contributor.author | Elijorde, Frank I. | |
dc.contributor.author | Byun, Yung-Cheol | |
dc.date.accessioned | 2022-05-16T04:24:08Z | |
dc.date.available | 2022-05-16T04:24:08Z | |
dc.date.issued | 2016-12 | |
dc.identifier.citation | Secondes, A. A., Otero, N. A. D. D., Elijorde, F. I., & Byun, Y. (2016). A computer vision-based assistive mobile application for the visually impaired. The Transactions of the Korean Institute of Electrical Engineers, 65(12), 2138-2144. http://dx.doi.org/10.5370/KIEE.2016.65.12.2138 | en |
dc.identifier.issn | 1975-8359 | |
dc.identifier.uri | http://repository.wvsu.edu.ph/handle/123456789/115 | |
dc.description.abstract | People with visual disabilities suffer environmentally, socially, and technologically. Navigating through places and recognizing objects are already a big challenge for them who require assistance. This study aimed to develop an android-based assistive application for the visually impaired. Specifically, the study aimed to create a system that could aid visually impaired individuals performs significant tasks through object recognition and identifying locations through GPS and Google Maps. In this study, the researchers used an android phone allowing a visually impaired individual to go from one place to another with the aid of the application. Google Maps is integrated to utilize GPS in identifying locations and giving distance directions and the system has a cloud server used for storing pinned locations. Furthermore, Haar-like features were used in object recognition. | en |
dc.description.sponsorship | The authors would like to thank the rest of the development team (Avis A. Aligarbes, John Alphonse A. Jimena, Lorenz A. Lorca, Doryn Marie L. Tallador) for their significant contributions to the study. | en |
dc.language.iso | en | en |
dc.publisher | The Korean Institute of Electrical Engineers | en |
dc.relation.uri | en | |
dc.rights | Attribution-NonCommercial 3.0 | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/ | * |
dc.subject | Visually impaired | en |
dc.subject | Smartphones | en |
dc.subject | Assistive systems | en |
dc.subject | Navigation systems | en |
dc.subject | Object recognition | en |
dc.subject | GPS | en |
dc.subject | Open CV | en |
dc.subject | ISO 9126 Software Quality Standards | en |
dc.subject.lcsh | Application software | en |
dc.subject.lcsh | People with disabilities--Services for | en |
dc.subject.lcsh | Smartphones | en |
dc.subject.lcsh | Assistive computer technology | en |
dc.subject.lcsh | Vision disorders | en |
dc.subject.lcsh | People with visual disabilities | en |
dc.subject.lcsh | Global Positioning System | en |
dc.subject.lcsh | Google Maps | en |
dc.title | A computer vision-based assistive mobile application for the visually impaired | en |
dc.title.alternative | 컴퓨터 비전 기반 시각 장애 지원 모바일 응용 | ko |
dc.type | Article | en |
dcterms.accessRights | Open access | en |
dc.citation.journaltitle | The Transactions of the Korean Institute of Electrical Engineers | en |
dc.citation.volume | 65 | en |
dc.citation.issue | 12 | en |
dc.citation.firstpage | 2138 | en |
dc.citation.lastpage | 2144 | en |
dc.identifier.essn | 287-4364 | |
dc.identifier.doi | 10.5370/KIEE.2016.65.12.2138 | |
local.isIndexedBy | Scopus | en |
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