<b>Advancing Vehicular Independence for the Visually Impaired Through Smart Technology</b>

This paper introduces an integrated framework comprising emerging technologies to provide easy-to-use, effective, and smart transit services for visually impaired people (VIP). This framework uses IoT, IoD, GPS, crowdsensing, audio and video recording for collecting data about VIPs, and a central cloud server to process those data for a quick response to the request of VIP. A mobile application is used by VIPs to coordinate different components of this framework. Most existing mobile applications [1 – 31] provide very basic information to VIPs using Google location services and do not include these technologies. Moreover, most of these existing applications use artificial intelligence (AI) and Machine Learning (ML) algorithms for data processing, analysis, and decision-making. The proposed framework uses AI and ML-based algorithms that make the framework more efficient in terms of faster decision-making and response to VIPs.

Content

Author and article information

Journal

Title: ScienceOpen Preprints

Publisher: ScienceOpen

Publication date (Electronic preprint): 18 March 2024

Affiliations

[1 ] Alfaisal University ( https://ror.org/00cdrtq48)

[2 ] Alfaisal University;

[3 ] Seneca Polytechnique, Toronto, Canada ( https://ror.org/04qgh9k98)

[4 ] Prince Sultan University ( https://ror.org/053mqrf26)

Author notes

[* ]Email: nnasser@ 123456alfaisal.edu .

Author information

Nidal Nasser https://orcid.org/0000-0002-9532-2074

Article

DOI: 10.14293/PR2199.000771.v1

SO-VID: c57c43cb-cad7-4598-89c2-bddd7c759d5e

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 18 March 2024

Funding

Funded by: funder-id http://dx.doi.org/10.13039/501100019345, King Salman Center for Disability Research;

References

Ashraf Md Mahfuz, Hasan Najmul, Lewis Lundy, Hasan Md Rashadul, Ray Pradeep. A Systematic Literature Review of the Application of Information Communication Technology for Visually Impaired People. International Journal of Disability Management. Vol. 11:2016. Cambridge University Press (CUP). [Cross Ref]
Pydala Bhasha, Kumar T. Pavan, Baseer K. Khaja. Smart_Eye: A Navigation and Obstacle Detection for Visually Impaired People through Smart App. Journal of Applied Engineering and Technological Science (JAETS). Vol. 4(2):992–1011. 2023. Yayasan Riset dan Pengembangan Intelektual. [Cross Ref]
El-Taher Fatma El-Zahraa, Miralles-Pechuan Luis, Courtney Jane, Millar Kristina, Smith Chantelle, Mckeever Susan. A Survey on Outdoor Navigation Applications for People With Visual Impairments. IEEE Access. Vol. 11:14647–14666. 2023. Institute of Electrical and Electronics Engineers (IEEE). [Cross Ref]
Landazabal Nicolas Pena, Andres Mendoza Rivera Oscar, Martinez Marcelo Herrera, Ramirez Nates Camilo, Uchida Beatriz Tsukamoto. Design and implementation of a mobile app for public transportation services of persons with visual impairment (TransmiGuia). 2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA). 2019. IEEE. [Cross Ref]
Prusova V. I., Zhidkova M. A., Goryunova A. V., Tsaryova V. S.. Intelligent Transport Systems as an Inclusive Mobility Solution for People with Disabilities. 2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED). 2022. IEEE. [Cross Ref]
Lima Rui, Barreto Luís, Amaral António, Paiva Sara. Visually Impaired People Positioning Assistance System Using Artificial Intelligence. IEEE Sensors Journal. Vol. 23(7):7758–7765. 2023. Institute of Electrical and Electronics Engineers (IEEE). [Cross Ref]
De Jesus Jan Adalbert P., Gatpolintan Khyle Andrei V., Manga Charmaine Lilan Q., Trono Mary Rose L., Yabut Emeliza R.. PerSEEption: Mobile and Web Application Framework for Visually Impaired Individuals. 2021 1st International Conference in Information and Computing Research (iCORE). 2021. IEEE. [Cross Ref]
Somyat Nawin, Wongsansukjaroen Teepakorn, Longjaroen Wuttinan, Nakariyakul Songyot. NavTU: Android Navigation App for Thai People with Visual Impairments. 2018 10th International Conference on Knowledge and Smart Technology (KST). 2018. IEEE. [Cross Ref]
P Shreya, N Shreyas, D Pushya, N Uma Maheswar Reddy. BLIND ASSIST : A One Stop Mobile Application for the Visually Impaired. 2021 IEEE Pune Section International Conference (PuneCon). 2021. IEEE. [Cross Ref]
Lin Jyun-You, Chiang Chi-Lin, Wu Meng-Jin, Yao Chih-Chiung, Chen Ming-Chiao. Smart Glasses Application System for Visually Impaired People Based on Deep Learning. 2020 Indo – Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN). 2020. IEEE. [Cross Ref]
Durgadevi S., Komathi C., ThirupuraSundari K., Haresh S.S, Harishanker A.K.R.. IOT Based Assistive System for Visually Impaired and Aged People. 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). 2022. IEEE. [Cross Ref]
Agarwal Arun, Agarwal Kabita, Agrawal Ramachandra, Patra Akshaya kumar, Mishra Alok Kumar, Nahak Narayan. Wireless Bus Identification System for Visually Impaired Person. 2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON). 2021. IEEE. [Cross Ref]
U Vijetha, V Geetha. Opportunities and Challenges in Development of Support System for Visually Impaired: A Survey. 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence). 2023. IEEE. [Cross Ref]

Comments

Comment on this article

[1] Ashraf Md Mahfuz, Hasan Najmul, Lewis Lundy, Hasan Md Rashadul, Ray Pradeep. A Systematic Literature Review of the Application of Information Communication Technology for Visually Impaired People. International Journal of Disability Management. Vol. 11:2016. Cambridge University Press (CUP). [Cross Ref]

[2] Pydala Bhasha, Kumar T. Pavan, Baseer K. Khaja. Smart_Eye: A Navigation and Obstacle Detection for Visually Impaired People through Smart App. Journal of Applied Engineering and Technological Science (JAETS). Vol. 4(2):992–1011. 2023. Yayasan Riset dan Pengembangan Intelektual. [Cross Ref]

[3] El-Taher Fatma El-Zahraa, Miralles-Pechuan Luis, Courtney Jane, Millar Kristina, Smith Chantelle, Mckeever Susan. A Survey on Outdoor Navigation Applications for People With Visual Impairments. IEEE Access. Vol. 11:14647–14666. 2023. Institute of Electrical and Electronics Engineers (IEEE). [Cross Ref]

[4] Landazabal Nicolas Pena, Andres Mendoza Rivera Oscar, Martinez Marcelo Herrera, Ramirez Nates Camilo, Uchida Beatriz Tsukamoto. Design and implementation of a mobile app for public transportation services of persons with visual impairment (TransmiGuia). 2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA). 2019. IEEE. [Cross Ref]

[5] Prusova V. I., Zhidkova M. A., Goryunova A. V., Tsaryova V. S.. Intelligent Transport Systems as an Inclusive Mobility Solution for People with Disabilities. 2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED). 2022. IEEE. [Cross Ref]

[6] Lima Rui, Barreto Luís, Amaral António, Paiva Sara. Visually Impaired People Positioning Assistance System Using Artificial Intelligence. IEEE Sensors Journal. Vol. 23(7):7758–7765. 2023. Institute of Electrical and Electronics Engineers (IEEE). [Cross Ref]

[7] De Jesus Jan Adalbert P., Gatpolintan Khyle Andrei V., Manga Charmaine Lilan Q., Trono Mary Rose L., Yabut Emeliza R.. PerSEEption: Mobile and Web Application Framework for Visually Impaired Individuals. 2021 1st International Conference in Information and Computing Research (iCORE). 2021. IEEE. [Cross Ref]

[8] Somyat Nawin, Wongsansukjaroen Teepakorn, Longjaroen Wuttinan, Nakariyakul Songyot. NavTU: Android Navigation App for Thai People with Visual Impairments. 2018 10th International Conference on Knowledge and Smart Technology (KST). 2018. IEEE. [Cross Ref]

[9] P Shreya, N Shreyas, D Pushya, N Uma Maheswar Reddy. BLIND ASSIST : A One Stop Mobile Application for the Visually Impaired. 2021 IEEE Pune Section International Conference (PuneCon). 2021. IEEE. [Cross Ref]

[10] Lin Jyun-You, Chiang Chi-Lin, Wu Meng-Jin, Yao Chih-Chiung, Chen Ming-Chiao. Smart Glasses Application System for Visually Impaired People Based on Deep Learning. 2020 Indo – Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN). 2020. IEEE. [Cross Ref]

[11] Durgadevi S., Komathi C., ThirupuraSundari K., Haresh S.S, Harishanker A.K.R.. IOT Based Assistive System for Visually Impaired and Aged People. 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). 2022. IEEE. [Cross Ref]

[12] Agarwal Arun, Agarwal Kabita, Agrawal Ramachandra, Patra Akshaya kumar, Mishra Alok Kumar, Nahak Narayan. Wireless Bus Identification System for Visually Impaired Person. 2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON). 2021. IEEE. [Cross Ref]

[13] U Vijetha, V Geetha. Opportunities and Challenges in Development of Support System for Visually Impaired: A Survey. 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence). 2023. IEEE. [Cross Ref]

Advancing Vehicular Independence for the Visually Impaired Through Smart Technology