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Mobile Application: Mobile Assistance for Visually Impaired People - Speech Interface System (SIS)

机译:移动应用程序:视障人士的移动协助-语音接口系统(SIS)

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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.
机译:技术的发展已使人们在交流中获得最大利益,并促进了他们的日常活动。事实证明,诸如移动应用程序之类的技术贡献具有很高的能力,可以满足残疾人的需求。智能手机的使用仅限于视障(VI)社区,因为大多数当前可用的移动应用程序对视力障碍者并不友好。尽管当今的智能手机提供诸如Android的TalkBack和iOS的VoiceOver之类的辅助功能,但这些辅助功能在导航VI社区时提供的功能较少。移动应用中的语音接口系统(SIS)结合了对象和距离检测功能,可以帮助VI社区仅使用智能手机即可导航到目的地。该系统文献综述(SLR)为我们对语音识别项目的当前研究以及在支持VI人员的移动应用程序平台中语音识别的需求问题提供了我们的发现。整个SLR一直在搜索三个期刊数据库(Google Scholar,IEEE Explore和Science Direct),其文章范围为2013-2019年。共检索了136篇文章标题,检查了73篇文章的摘要,选择了35篇全文文章进行最终审阅。总共分析了19篇文章。 SLR的目的是收集技术,评估方法和项目验证。

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