Assistive Navigation System for Visually Impaired and Blind People: A Review

Tyagi, Noopur; Sharma, Deepika; Singh, Jaiteg; Sharma, Bhisham; Narang, Sushil Kumar

doi:10.1109/aimv53313.2021.9670951

Cited by 15 publications

(4 citation statements)

References 20 publications

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“…Moreover, they also face obstacles when maneuvering within indoor spaces, reading printed materials, and engaging in social interactions [ 1 ]. Unfortunately, these challenges are compounded by the inconsistent availability of assistive technology and the absence of universally accessible design standards in their surroundings [ 2 ]. Furthermore, adapting to changing weather conditions and the emotional troll of navigating a world primarily designed for sighted individuals further exacerbate these difficulties.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review of navigation systems for visually impaired individuals

Abidi,

Noor Siddiquee,

Alkhalefah

et al. 2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

A comprehensive review of navigation systems for visually impaired individuals

Abidi,

Noor Siddiquee,

Alkhalefah

et al. 2024

Heliyon

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“…Among people with visual impairments, traditional guidance measures such as guide sticks and guide dogs have their limitations, such as the inability to cover all areas in front of a blind person that may be at risk [3]. At the same time, the existing AIDS for the blind in the market also have low technical content and high cost [4]. With the progress of sensor technology since the 21st century, electronic travel AIDS (ETAs) used for blind navigation have shown great potential in solving the problem of injuries caused by blind people not being able to obtain effective navigation [5].…”

Section: Introductionmentioning

confidence: 99%

Current status and future prospects of SLAM technology in the field of blind navigation

Hu,

Yang

2024

ACE

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This comprehensive review paper explores the progressive integration of Simultaneous Localization and Mapping (SLAM) technology within the realm of blind navigation. The study delves into the current landscape of research and practical implementations where SLAM techniques are harnessed to empower visually impaired individuals in navigating their surroundings. The paper takes a focused approach by elucidating the advancements achieved through RGB-D-based SLAM navigation systems and the intriguing developments within the realm of LSD-SLAM-based navigation. A paramount facet of this exploration involves the design and deployment of interactive devices that bridge the gap between blind individuals and navigation systems. Notably, the paper examines the intricacies of these interaction interfaces, highlighting their pivotal role in enhancing the efficacy and user-friendliness of SLAM-driven navigation. Furthermore, this review critically assesses the existing limitations that persist within the current application of SLAM technology for blind navigation. The discussion encompasses challenges related to environmental diversity, real-time processing constraints, and the need for robustness in complex scenarios. By acknowledging these limitations, the paper paves the way for a comprehensive examination of potential avenues for refinement and enhancement. In conclusion, this paper serves as a comprehensive guide to the progressive incorporation of SLAM technology into blind navigation. It underscores the transformative potential of RGB-D and LSD-SLAM systems, underscores the significance of interaction interfaces, and underscores the evolving trajectory towards a more inclusive and efficient navigation solution for the visually impaired.

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“…Some examples of Assistive Technology are hearing aids, memory aids, eyeglasses, wheelchairs, pill organizers, and communication aids. Assistive Technology has made great advances in its integration with Artificial Intelligence of Things—from now on referred to as AIoT—devices and machine learning [ 4 , 5 , 6 ]. AIoT processes and analyzes the large amount of data generated by Internet of Things—from now on referred to as IoT—devices and applies Artificial Intelligence techniques, specifically, machine learning, to discover patterns for generating insights and assisting in decision making [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review

Freitas

Piai

Farias

et al. 2022

Sensors

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According to the World Health Organization, about 15% of the world’s population has some form of disability. Assistive Technology, in this context, contributes directly to the overcoming of difficulties encountered by people with disabilities in their daily lives, allowing them to receive education and become part of the labor market and society in a worthy manner. Assistive Technology has made great advances in its integration with Artificial Intelligence of Things (AIoT) devices. AIoT processes and analyzes the large amount of data generated by Internet of Things (IoT) devices and applies Artificial Intelligence models, specifically, machine learning, to discover patterns for generating insights and assisting in decision making. Based on a systematic literature review, this article aims to identify the machine-learning models used across different research on Artificial Intelligence of Things applied to Assistive Technology. The survey of the topics approached in this article also highlights the context of such research, their application, the IoT devices used, and gaps and opportunities for further development. The survey results show that 50% of the analyzed research address visual impairment, and, for this reason, most of the topics cover issues related to computational vision. Portable devices, wearables, and smartphones constitute the majority of IoT devices. Deep neural networks represent 81% of the machine-learning models applied in the reviewed research.

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Assistive Navigation System for Visually Impaired and Blind People: A Review

Cited by 15 publications

References 20 publications

A comprehensive review of navigation systems for visually impaired individuals

A comprehensive review of navigation systems for visually impaired individuals

Current status and future prospects of SLAM technology in the field of blind navigation

Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review

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