Design and Implementation of an Embedded Real-Time System for Guiding Visually Impaired Individuals

Duman, Sonay; Elewi, Abdullah; Yetgin, Zeki

doi:10.1109/idap.2019.8875942

Cited by 18 publications

(9 citation statements)

References 10 publications

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“…The system works in the outdoor environment and is being tested on the real-time environment with high accuracy. Sonay et al [22] have developed a system that uses CNN for the detection of an object in real-time using YOLO architecture [23]. The camera is placed at the top of the Raspberry pi board.…”

Section: ) Non-vision-based Detection Devicesmentioning

confidence: 99%

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy

Zafar

Asif²,

Ahmad³

et al. 2022

IEEE Access

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Visually impaired persons (VIPs) comprise a significant portion of the population and they are present in all corners of the world. In recent times, technology proved its presence in every domain of the life and innovative devices are assisting humans in all fields especially, artificial intelligence has dominated and outperformed rest of the trades. VIPs need assistance in performing daily life tasks like object/obstacle detection and recognition, navigation, and mobility, particularly in indoor and outdoor environments. Moreover, the protection and safety of these people are of prime concern. Several devices and applications have been developed for the assistance of VIPs. Firstly, these devices take input from the surrounding environment through different sensors e.g. infrared radiation, ultrasonic, imagery sensor, etc. In the second stage, state of the art machine learning techniques process these signals and extract useful information. Finally, feedback is provided to the user through auditory and/or vibratory means. It is observed that most of the existing devices are constrained in their abilities. The paper presents a comprehensive comparative analysis of the state-of-the-art assistive devices for VIPs. These techniques are categorized based on their functionality and working principles. The main attributes, challenges, and limitations of these techniques have also been highlighted. Moreover, a score based quantitative analysis of these devices is performed to highlight their feature enrichment capability for each category. It may help to select an appropriate device for a particular scenario.

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Section: ) Non-vision-based Detection Devicesmentioning

confidence: 99%

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy

Zafar

Asif²,

Ahmad³

et al. 2022

IEEE Access

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“…Concerning the walking assistants, the studies [16], [100], [102], [134], [135], [137], [143], [144], [161] report smart sticks or white canes for disabled people using sensors and computer vision techniques according to the convention pointed out in the review about walking assistants in reference [29]. It is important to notice that the authors interchange the terms smart stick or white cane in their works.…”

Section: ) Visual Disability and Impairmentsmentioning

confidence: 99%

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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Disabled People deal with a series of barriers that limit their inclusion, empowerment, wellbeing, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-ofart about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people. INDEX TERMS Assistive technologies, disabled people, persons with disabilities, adaptive aids, open hardware, open-source hardware, open-source software, systematic literature review.

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“…Different versions (YOLO v3 (Tiny) [49], YOLO v2 [50], YOLO 9000 [51]) were used in different researches. The accuracy and number of objects that could be detected varies for each version.…”

Section: Object Recognitionmentioning

confidence: 99%

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

Valipoor

Jiménez

2022

Univ Access Inf Soc

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During the past years, the development of assistive technologies for visually impaired (VI)/blind people has helped address various challenges in their lives by providing services such as obstacle detection, indoor/outdoor navigation, scene description, text reading, facial recognition and so on. This systematic mapping review is mainly focused on the scene understanding aspect (e.g., object recognition and obstacle detection) of assistive solutions. It provides guidance for researchers in this field to understand the advances during the last four and a half years. This is because deep learning techniques together with computer vision have become more powerful and accurate than ever in tasks like object detection. These advancements can bring a radical change in the development of high-quality assistive technologies for VI/blind users. Additionally, an overview of the current challenges and a comparison between different solutions is provided to indicate the pros and cons of existing approaches.

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Design and Implementation of an Embedded Real-Time System for Guiding Visually Impaired Individuals

Cited by 18 publications

References 10 publications

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mapping

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