Publication: Mobile Application: Mobile Assistance for Visually Impaired People - Speech Interface System (SIS)
Date
2020
Authors
Norkhalid A.M.
Faudzi M.A.
Ghapar A.A.
Rahim F.A.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
The evolution of technology has been made to bring the most benefits to human-being on communication and to facilitate their day-to-day activities. Technologies contribution, such as mobile application, has been proved to have a high capability to cater to the needs of a person with disabilities. The usage of smartphone is limited for visually impaired(VI) community as most of the currently available mobile application are not user-friendly for people with vision disability. Although smartphones nowadays are offering accessibility services such as TalkBack for Android and VoiceOver for iOS, these accessibilities provide fewer functions on navigating the VI community. A speech interface system(SIS) in mobile application combined with object and distance detection could help the VI community to navigate to their destination only with the use of a smartphone. This Systematic Literature Review (SLR) provide our findings on the present study of speech recognition projects and the requirement issues of speech recognition in mobile application platform throughout supporting VI people. Three journal databases (Google Scholar, IEEE Explore and Science Direct) has been searching throughout this SLR with articles ranging from the year of 2013-2019. A result of 136 article titles, abstracts of 73 articles were examined, 35 full-text articles were selected for final review. A total of 19 articles are analyzed. The purpose of the SLR is to collect the technique, evaluation methods and the validation of the projects. � 2020 IEEE.
Description
Interactive computer systems; Mobile computing; Object detection; Smartphones; Distance detection; Evaluation methods; Evolution of technology; High capabilities; Mobile applications; Systematic literature review (SLR); Visually impaired; Visually impaired people; Speech recognition