Publication:
A Systematic Literature Review of the Mobile Application for Object Recognition for Visually Impaired People

Simple item page
dc.citedby2
dc.contributor.authorNor Hisham Z.A.en_US
dc.contributor.authorFaudzi M.A.en_US
dc.contributor.authorGhapar A.A.en_US
dc.contributor.authorRahim F.A.en_US
dc.contributor.authorid57220808067en_US
dc.contributor.authorid35193815200en_US
dc.contributor.authorid35172922200en_US
dc.contributor.authorid57350579500en_US
dc.date.accessioned2023-05-29T08:08:01Z
dc.date.available2023-05-29T08:08:01Z
dc.date.issued2020
dc.descriptionMobile computing; Search engines; Smartphones; Assistive technology; Mobile applications; Mobile platform; Mobile Technology; Systematic literature review; Systematic literature review (SLR); Visual impairment; Visually impaired people; Object recognitionen_US
dc.description.abstractNowadays, mobile applications or also known as mobile apps are one of the most important sources of communication and gives a lot of benefits to a person. Mobile technology advancements have brought an excessive change in people's daily lifestyles which has led to high demand for developing software that can give benefit to a person that runs on a mobile device. Mobile apps are represented visually on a smartphone, which it is not user-friendly for visually impaired people. The number of visually impaired people are growing in each of the countries in the world. Most technologies are being developed to help people with visual impairment because they still have difficulties in using assistive technologies. This systematic literature review attempts to provide findings on the project for visually impaired people to recognize objects using their smartphones. Systematic Literature Review (SLR) method was used to collect and review the current state of analysis concerning object recognition for visually impaired people on mobile platforms. Overall, this research covered articles published in three databases which are ScienceDirect, IEEE Xplore and Google Scholar and the articles selected are between 2013 until 2019. This paper is based on the Kitchenham methodology where the keyword search and exclusion criteria to select the articles about the topic were used. After reading the total of 371 titles of articles based on keywords, 323 abstracts were examined thoroughly. Then, 21 full-text articles were chosen for the final review. The findings show the techniques, tools used and methods on how the system was implemented to recognize object. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9243523
dc.identifier.doi10.1109/ICIMU49871.2020.9243523
dc.identifier.epage322
dc.identifier.scopus2-s2.0-85097651859
dc.identifier.spage316
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097651859&doi=10.1109%2fICIMU49871.2020.9243523&partnerID=40&md5=e8e9410d278eed74b36cbbfc5be8da71
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25306
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 8th International Conference on Information Technology and Multimedia, ICIMU 2020
dc.titleA Systematic Literature Review of the Mobile Application for Object Recognition for Visually Impaired Peopleen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS