X-EYE: A Bio-smart Secure Navigation Framework for Visually Impaired People

Minhas, Rabia Afzal; Javed, Ali

doi:10.1109/cspis.2018.8642718

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…These devices use vision-based sensor (camera) for the object detection and response is send to user through vibration, sound or both. Rabia et al [53] have introduced an X-Eye which help VIPs in both navigation and the detection. The device is a smartphone along with a wearable camera.…”

Section: ) Vision-based Hybrid 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: ) Vision-based Hybrid Devicesmentioning

confidence: 99%

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

Zafar

Asif²,

Ahmad³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

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“…The application considers development requirements to avoid rapid battery consumption. In [40], the X-EYE app is presented to promote VIP independent mobility, using a wearable camera which reduces the cost of the solution. The application allows the detection of obstacles, people recognition, tracking and sharing of location, SMS reader, and a translation system.…”

Section: Navigation Of Visually Impaired Peoplementioning

confidence: 99%

“…Challenge Approach [38] Outdoor navigation SIG, GPS receiver, magnetic compass, and gyrocompass [39] Smartphone camera, accelerometer [47] Deep learning, camera vision-based system [48] Voice feedback, multi-sensory clues, microlocation technology [44] Obstacle detection and navigation The infrared sensor in a cap for head protection [40] Obstacle detection…”

Section: Referencementioning

confidence: 99%

Image Recognition-Based Architecture to Enhance Inclusive Mobility of Visually Impaired People in Smart and Urban Environments

et al. 2022

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The demographic growth that we have witnessed in recent years, which is expected to increase in the years to come, raises emerging challenges worldwide regarding urban mobility, both in transport and pedestrian movement. The sustainable development of cities is also intrinsically linked to urban planning and mobility strategies. The tasks of navigation and orientation in cities are something that we resort to today with great frequency, especially in unknown cities and places. Current navigation solutions refer to the precision aspect as a big challenge, especially between buildings in city centers. In this paper, we focus on the segment of visually impaired people and how they can obtain information about where they are when, for some reason, they have lost their orientation. Of course, the challenges are different and much more challenging in this situation and with this population segment. GPS, a technique widely used for navigation in outdoor environments, does not have the precision we need or the most beneficial type of content because the information that a visually impaired person needs when lost is not the name of the street or the coordinates but a reference point. Therefore, this paper includes the proposal of a conceptual architecture for outdoor positioning of visually impaired people using the Landmark Positioning approach.

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“…The result shows an accuracy of 98.3% for the proposed system. Minhas et al [33] have developed X-Eye, which facilitates detection and recognition of an object and helps trace a location. It is composed of a camera and a smartphone.…”

mentioning

confidence: 99%

CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People

et al. 2022

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Visually impaired persons (VIPs) comprise a significant portion of the population, and they are present around the globe and in every part of the world. In recent times, technology proved its presence in every domain, and innovative devices assist humans in their daily lives. In this work, a smart and intelligent system is designed for VIPs to assist mobility and ensure their safety. The proposed system provides navigation in real-time using an automated voice. Though VIPs wouldn't be able to see objects in their surroundings, they can sense and visualize the roaming environment. Moreover, a web-based application is developed to ensure their safety. The user of this application can turn the on-demand function for sharing his/her location with the family while compromising privacy. Through this application, the family members of VIPs would be able to track their movement (get location and snapshots) while being at their homes. Hence, the device allows VIPs to visualize the environment and ensure their security. Such a comprehensive device was a missing link in the existing literature. The application uses MobileNet architecture due to its low computational complexity to run on low-power end devices. To assess the efficacy of the proposed system, six pilot studies have been performed that reflected satisfactory results. For object detection and recognition, a deep Convolution Neural Network (CNN) model is employed with an accuracy of 83.3%, whereas the dataset contains more than 1000 categories. Moreover, a score-based quantitative comparative analysis is performed using the supported features of devices. It is found that the proposed system has outperformed the existing devices having a total score of 9.1/10, which is 8% higher than the second-best.

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X-EYE: A Bio-smart Secure Navigation Framework for Visually Impaired People

Cited by 9 publications

References 8 publications

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

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

Image Recognition-Based Architecture to Enhance Inclusive Mobility of Visually Impaired People in Smart and Urban Environments

CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People

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