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Assistive Technology
The Official Journal of RESNA
Volume 34, 2022 - Issue 4
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Articles

An intelligent indoor guidance and navigation system for the visually impaired

M. KahramanDepartment of Software Engineering, Atılım University, İncek/Ankara, Turkey
, PhD &
C. TurhanDepartment of Software Engineering, Atılım University, İncek/Ankara, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6595-7095
, PhDORCID Icon
Pages 478-486 | Accepted 30 Dec 2020, Published online: 05 Mar 2021

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Emma M. Smith, David Graham, Cathal Morgan & Malcolm MacLachlan. (2023) Artificial intelligence and assistive technology: risks, rewards, challenges, and opportunities. Assistive Technology 35:5, pages 375-377.
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Maryam Zahabi, Xi Zheng, Azima Maredia & Farzaneh Shahini. (2023) Design of Navigation Applications for People with Disabilities: A Review of Literature and Guideline Formulation. International Journal of Human–Computer Interaction 39:14, pages 2942-2964.
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Articles from other publishers (2)

Oleksiy Gensytskyy, Pratyush Nandi, Martin J.-D. Otis, Clinton Enow Tabi & Johannes C. Ayena. (2023) Soil friction coefficient estimation using CNN included in an assistive system for walking in urban areas. Journal of Ambient Intelligence and Humanized Computing 14:10, pages 14291-14307.
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Xiaochen Zhang, Xiaoyu Yao, Lanxin Hui, Fuchuan Song & Fei Hu. (2021) A Bibliometric Narrative Review on Modern Navigation Aids for People with Visual Impairment. Sustainability 13:16, pages 8795.
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