Title:	USING TENSORFLOW TO DESIGN ASSISTIVE TECHNOLOGIES FOR PEOPLE WITH VISUAL IMPAIRMENTS
Author(s):	Davide Mulfari, Alessandro Palla and Luca Fanucci
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Wearable devices; Assistive Technology; Blind Users; Google TensorFlow; Embedded systems; Deep Learning
Type:	Full Paper
First Page:	110
Last Page:	116
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	TensorFlow is an open source deep learning framework developed at Google that enables developers to conceive a wide variety of applications based on artificial intelligence principles. In this paper, we employ such software resources towards the development of a computer vision system for people with visual impairments. We propose a wearable assistive technology solution consisting of a single board computer connected to a camera mounted on the user's glasses. A TensorFlow based software runs on the board in order to real time classify the images captured by the camera, while a text to speech process vocalizes the still's content for the blind person. In this way, the system provides an audio description of the objects in the user's surrounding environment and it may help these people to better detect the things around them.
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