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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/1190
Title: A survey on Assistive Technology for visually impaired
Authors: Manjari, Kanak
Keywords: Assistive Technology
Deep Learning
Electronic Travel Aids
Image Processing
Obstacle Avoidance
Obstacle Detection
Issue Date: 2020
Publisher: Elsevier B.V.
Abstract: One-Sixth of the world population is suffering from vision impairment, as per WHO's report. In the past decades, many efforts have been done in developing several devices to provide support to visually blind and enhance the quality of their lives by making them capable. Many of those devices are either heavy or costly for general purposes. In this paper, a detailed comparative study of all the relevant devices developed for them has been presented which are wearable and handheld. The focus was on the prominent features of those devices and analysis has also been performed based on few factors like power consumption, weight, economic and user-friendliness. The idea was to build a path for the researchers who are trying to work in this field by either developing a portable device or through some efficient algorithm to ensure independence, mobility, and safety for visually impaired persons. © 2020 Elsevier B.V.
URI: https://doi.org/10.1016/j.iot.2020.100188
http://lrcdrs.bennett.edu.in:80/handle/123456789/1190
ISSN: 2542-6605
Appears in Collections:Journal Articles_SCSET

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