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Smartphones as Visual Prosthesis

Authors: Shoaei Shirehjini, Alireza;

Smartphones as Visual Prosthesis

Abstract

Smartphone have become far more widely used during last decade. Ubiquitous daily computation power along with a rich set of sensors have added value to our life significantly. It has provided the opportunity to improve the quality of life for visually impaired people. The camera embedded in these mobile devices has enabled researchers to explore different ways to augment the vision sense as a solution for visually impaired people. Indoor and outdoor navigation systems that provide tactile or audio feedback and magnification applications have used the camera in some extent. People with more moderate vision loss tend to avoid technologies that use tactile and audio feedback. Therefore, those techniques that enhance vision can highly benefit them. This study is research and development of a magnifier prototype developed on smartphone platform for visually impaired people. This magnifier is operated by hand gestures. Our prototype offers a way to easily scroll and pan through the magnified content. The algorithm will be technically evaluated. In the last phase an experiment will be conducted to compare the prototype with normal magnifier software that only uses the device’s camera.

Master i universell utforming av IKT

Country
Norway
Keywords

VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Telekommunikasjon: 552, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551, Smartphones, Hand gestures, Panning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green