Sightless Helper: An Interactive Mobile Application for Blind Assistance and Safe Navigation

Hossain, Md. Elias; Qaiduzzaman, Khandker M; Rahman, Mostafijur

doi:10.1007/978-3-030-52856-0_46

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…10) Overall, the integration of Text-To-Speech software in the object detection white cane improves the SVI navigation experience within the Federal College of Education (Special), Oyo campus compared to ordinary white cane. The findings of this study as stated in research questions two are capable of solving the problems identified by general opinion of persons with visual impairment according to [4] who reported that the major problem of some visually impaired individuals is to locate a place precisely. In addition, the findings also are consistent with the work of [10] that reported higher educational institutions need to incorporate structural facilities that will make campus friendly to students with special needs because many campuses do not provide easy navigation for students with visual impairment.…”

Section: Discussion Of Findingsmentioning

confidence: 68%

“…Living in a society and performing daily work like sighted people is a constraint to the Students with Visual Impairment (SVI). According to the opinion of some visually impaired individuals, their major problem is to locate a place precisely [4]. Assisting the visually impaired and blind persons when moving from one place to another usually relies on other persons [15].…”

Section: Literature Reviewmentioning

confidence: 99%

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Development of Blind Campus Navigation System with Obstacle Detection Device

Babatunde,

Adekunle,

Aminat

et al. 2024

AJSET

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This study focuses on integrating Text-To-Speech software, Global Positioning System (GPS) and other technologies attached to existing white cane to create a robust navigation system that provides real-time feedback and assistance to Students with Visual Impairment (SVI) using Nigerian accent. It uses the design science research methodology for the development and validation of the GPS based mobility into object detection white cane for orientation and mobility of SVI. A speech-corpus database was created to serve as a dictionary for the Text-To-Speech and synthesized through machine learning and artificial intelligence to enable the object detection white cane to detect objects and identify common places at 30 meters in Federal College of Education (Special), Oyo campus, Oyo state, Nigeria. The developed object detection white cane was evaluated with 20 SVI selected for the study using the purposive sampling technique and data were collected through interviews and questionnaires. Two research questions were raised for the study. Data collected were analyzed both quantitatively and qualitatively, using Statistical Package for the Social Sciences (SPSS) and Atlas.ti. The results revealed that the mean response of the participants to all the items on the integration of Text-To-Speech software into object detection white cane is “1” an indication that Text-To-Speech software enhances the independent navigation of students with visual impairment. The study recommended that the components used were imported and expensive, hence the need for locally source components that can be used in producing the devices in large quantities and at reduced cost.

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Section: Discussion Of Findingsmentioning

confidence: 68%

Section: Literature Reviewmentioning

confidence: 99%

Development of Blind Campus Navigation System with Obstacle Detection Device

Babatunde,

Adekunle,

Aminat

et al. 2024

AJSET

View full text Add to dashboard Cite

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“…Terkadang mereka juga jatuh dalam bahaya saat mereka bergerak di tempat-tempat berisiko seperti tangga, tepi balkon, jalan ramai, tempat becek dan ketika saat mereka mengantuk,dll. Bahkan ketika dalam bahaya, beberapa dari mereka tidak dapat menghubungi orang tua mereka atau tidak dapat mempercaya orang karena sangat sulit untuk menggunakan aplikasi seluler apa pun untuk menilai secara visual (Hossain, Qiduzzaman, & Rohman, 2020) Maka dari itu kita menambahkan aplikasi mobile sebagai salah satu feature unggulan untuk menangani berbagai masalah mereka.…”

Section: Pendahuluanunclassified

“…3) Voice recognition HM2007 9532 A58N1 Mobile Application For Blind Assitance and Safe Navigation Sistem ini merupakan aplikasi pendukung teknologi yang akan digunakan pada helm ini. Aplikasi ini digunakan sebagai asisten pengguna yang dimana dalam aplikasi ini menyimpan berbagai info kontak penting, pengontrol perjalanan dari jauh dan tempat memberikan pesan apabila terjadi sesuatu kepada pengguna (Hossain, Qiduzzaman, & Rohman, 2020). Harapanya aplikasi ini juga dapat terhubung dengan mikrocamera sebagai kamera pemantau jarak jauh.…”

Section: Penggunaan Teknologi Produkunclassified

Perancangan Produk Helm Pintar Penyandang Tunanetra Sistem Navigasi Berbasis Suara Dan Aplikasi Mobile Asisten

Totok¹

2022

jointtech

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Permasalahan yang dialami oleh penyandang tunanetra adalah mereka sulit menemukan dan mendeteksi objek dalam suatu lingkungan. Karena keterbatasan tersebut kami berusaha membuat suatu rancangan helm pintar berbasis teknologi internet yang secara harfiah mampu membantu penyandang tunanetra dalam melihat, mendeteksi, dan mecari lokasi tujuan sekitar. Metode yang digunakan dalam pengumuplan dan pengolahan data adalah dengan menggunakan data pengukuran antropometri yang kemudian diolah degan uji normalitas, uji kecukupan, besar percentil yang kemudian dibagi ke dalam metode yaitu rasional dan hoq. Teknologi yang digunakan diantaranya yaitu Smart Helm Using IoT, Voice Based Navigation System, Mobile Application For Blind Assitance and Safe Navigation, dan Detection object sensor E18-D80NK. Adapun hasil dari perancangan yang sudah kami buat adalah ukuran percentil yang digunakan menggunakan ukuran percentil 50^, bentuk helm yang nyaman dan mudah digunakan bagi penyandang tuna Netra yang secara keseluruhan bertujukan untuk ukuran all size serta implementasinya yaitu untuk mendeteksi objek, melacak lokasi/gps dengan bentuk output berupa suara yaitu berbasis voice navigation.

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“…These disabilities can hinder one's ability to complete necessary daily tasks such as navigating independently in indoor or outdoor environments especially in unfamiliar places (e.g., Sato et al, 2019). Previous apps have been designed to help disabled persons to navigate indoors but few have focused on the interface usability (e.g., Hossain et al, 2020). In this study, we introduce a friendly indoor navigation app for people with disabilities (FIND) and focus on the app's interface usability.…”

Section: Introductionmentioning

confidence: 99%

A Friendly Indoor Navigation App for People with Disabilities (FIND)

Shahini

Nasr

Zahabi

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Persons with disabilities in our communities often find it difficult to achieve and maintain an independent and high quality of life. A significant cause of this issue is the challenge in independently navigating locations. Some prior studies investigated indoor navigation apps for one group of disabled users but few have addressed wayfinding needs of people with various disabilities simultaneously. The objective of this research was to design a friendly indoor navigation app for people with disabilities (FIND). The interface was evaluated and enhanced using a heuristic evaluation and focus group meeting with usability experts. The results were analyzed based on Molich and Nielsen’s usability principles and using a content analysis approach. The provided recommendations can be beneficial to improve the design of navigation apps for people with disabilities.

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Sightless Helper: An Interactive Mobile Application for Blind Assistance and Safe Navigation

Cited by 7 publications

References 11 publications

Development of Blind Campus Navigation System with Obstacle Detection Device

Development of Blind Campus Navigation System with Obstacle Detection Device

Perancangan Produk Helm Pintar Penyandang Tunanetra Sistem Navigasi Berbasis Suara Dan Aplikasi Mobile Asisten

A Friendly Indoor Navigation App for People with Disabilities (FIND)

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