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      Advancement in navigation technologies and their potential for the visually impaired: a comprehensive review

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          Abstract

          Improvements in technology and navigation tools are leading to more affordable and effective solutions to assist individuals with visual impairments. The progress made in navigation technology has the potential to increase inclusivity for the visually impaired in education, social, and workforce settings. After conducting a thorough review of the literature, we have identified key issues and concluded that collaboration among healthcare professionals, caregivers, programmers, engineers, and policymakers is essential for successfully developing navigation projects for the visually impaired. This study highlights different advances and relevant topics in the development of location-based applications for individuals with visual impairments. Our paper involved an extensive search of eight journal databases spanning from 1993 to 2021. We screened 4550 titles, analyzed 560 abstracts, and ultimately reviewed 35 full-text papers, resulting in the examination of 20 papers. Our findings indicate that the advancement of navigation technology can positively affect the quality of life of visually impaired individuals, particularly through assistive technology, mobile applications, and web services. Dot Waker, Nearby Explorer, Get There, and Google Maps are the most commonly used navigation systems by visually impaired individuals. Overall, our research suggests that continued development in navigation-assisted applications can significantly benefit the visually impaired community.

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          Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis.

          Rupert Bourne, Seth R Flaxman, Tasanee Braithwaite … (2017)
          Global and regional prevalence estimates for blindness and vision impairment are important for the development of public health policies. We aimed to provide global estimates, trends, and projections of global blindness and vision impairment.
          Article 0 comments Cited 395 times – based on 0 reviews     Review now
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            Echolocation in humans: an overview

            Melvyn Goodale, Lore Thaler (2016)
            Bats and dolphins are known for their ability to use echolocation. They emit bursts of sounds and listen to the echoes that bounce back to detect the objects in their environment. What is not as well-known is that some blind people have learned to do the same thing, making mouth clicks, for example, and using the returning echoes from those clicks to sense obstacles and objects of interest in their surroundings. The current review explores some of the research that has examined human echolocation and the changes that have been observed in the brains of echolocation experts. We also discuss potential applications and assistive technology based on echolocation. Blind echolocation experts can sense small differences in the location of objects, differentiate between objects of various sizes and shapes, and even between objects made of different materials, just by listening to the reflected echoes from mouth clicks. It is clear that echolocation may enable some blind people to do things that are otherwise thought to be impossible without vision, potentially providing them with a high degree of independence in their daily lives and demonstrating that echolocation can serve as an effective mobility strategy in the blind. Neuroimaging has shown that the processing of echoes activates brain regions in blind echolocators that would normally support vision in the sighted brain, and that the patterns of these activations are modulated by the information carried by the echoes. This work is shedding new light on just how plastic the human brain is. WIREs Cogn Sci 2016, 7:382-393. doi: 10.1002/wcs.1408 For further resources related to this article, please visit the WIREs website.
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              Indoor Positioning Algorithm Based on the Improved RSSI Distance Model

              Guoquan Li, Enxu Geng, Zhouyang Ye … (2018)
              The Global Navigation Satellite System (GNSS) cannot achieve accurate positioning and navigation in the indoor environment. Therefore, efficient indoor positioning technology has become a very active research topic. Bluetooth beacon positioning is one of the most widely used technologies. Because of the time-varying characteristics of the Bluetooth received signal strength indication (RSSI), traditional positioning algorithms have large ranging errors because they use fixed path loss models. In this paper, we propose an RSSI real-time correction method based on Bluetooth gateway which is used to detect the RSSI fluctuations of surrounding Bluetooth nodes and upload them to the cloud server. The terminal to be located collects the RSSIs of surrounding Bluetooth nodes, and then adjusts them by the RSSI fluctuation information stored on the server in real-time. The adjusted RSSIs can be used for calculation and achieve smaller positioning error. Moreover, it is difficult to accurately fit the RSSI distance model with the logarithmic distance loss model due to the complex electromagnetic environment in the room. Therefore, the back propagation neural network optimized by particle swarm optimization (PSO-BPNN) is used to train the RSSI distance model to reduce the positioning error. The experiment shows that the proposed method has better positioning accuracy than the traditional method.
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                Author and article information

                Contributors
                Vahid Isazade:
                ORCID: http://orcid.org/0000-0002-6348-4028
                vahidisazade75@gmail.com
                Journal
                Journal ID (iso-abbrev): Spat. Inf. Res.
                Title: Spatial Information Research
                Publisher: Springer Nature Singapore (Singapore )
                ISSN (Print): 2366-3286
                ISSN (Electronic): 2366-3294
                Publication date (Electronic): 21 April 2023
                Pages: 1-12
                Affiliations
                GRID grid.412265.6, ISNI 0000 0004 0406 5813, Department of Geographical Sciences, , Kharazmi University, ; West Azarbaijan province, Salmas city, Malham village, Imam Khomeini street, Keramat alley, 14, Tehran, Iran
                Author information
                http://orcid.org/0000-0002-6348-4028
                Article
                Publisher ID: 522
                DOI: 10.1007/s41324-023-00522-4
                PMC ID: 10121073
                SO-VID: 7b21af7b-41f7-4718-9019-4e460210f5e1
                Copyright © © The Author(s), under exclusive licence to Korea Spatial Information Society 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
                License:

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                Date received : 23 November 2022
                Date revision received : 3 April 2023
                Date accepted : 3 April 2023
                Categories
                Subject: Article

                Keywords: navigation technology,mobile applications,visually impaired people,location-based
                Data availability:
                Keywords: navigation technology, mobile applications, visually impaired people, location-based

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