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Examining facial recognition technology to augment the indoor navigation experience of individuals who are blind

Examining facial recognition technology to augment the indoor navigation experience of... Independent navigation is an important aspect in the lives of individuals who are blind. While orientation and mobility training often equip these individuals with skills for independent living, recent advances in navigation technologies could be used to augment the subjective quality of their navigation experience. In addition to outdoor navigation, blind individuals need to effectively navigate indoor spaces in different social contexts and environments. Moreover, they may need to identify the presence of known and unknown individuals in their vicinity in order to support social interactions (i.e. cueing the user to greet known individuals by name). Combining wearable solutions with computer vision and facial recognition (FR) technologies has the potential to help in this regard. However, only limited research has examined these technologies to inform the future design of assistive aids such that they meet the real world needs of this population. Research in this proposal aims to use a human-centric approach to understand both the technical and social aspects of FR technology and its integration with navigation aids. An optimal design framework will be sought in order to improve computer-vision-based navigation solutions for the blind community. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Examining facial recognition technology to augment the indoor navigation experience of individuals who are blind

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References (6)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 Copyright is held by the owner/author(s)
ISSN
1558-2337
eISSN
1558-1187
DOI
10.1145/3051519.3051527
Publisher site
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Abstract

Independent navigation is an important aspect in the lives of individuals who are blind. While orientation and mobility training often equip these individuals with skills for independent living, recent advances in navigation technologies could be used to augment the subjective quality of their navigation experience. In addition to outdoor navigation, blind individuals need to effectively navigate indoor spaces in different social contexts and environments. Moreover, they may need to identify the presence of known and unknown individuals in their vicinity in order to support social interactions (i.e. cueing the user to greet known individuals by name). Combining wearable solutions with computer vision and facial recognition (FR) technologies has the potential to help in this regard. However, only limited research has examined these technologies to inform the future design of assistive aids such that they meet the real world needs of this population. Research in this proposal aims to use a human-centric approach to understand both the technical and social aspects of FR technology and its integration with navigation aids. An optimal design framework will be sought in order to improve computer-vision-based navigation solutions for the blind community.

Journal

ACM SIGACCESS Accessibility and Computing – Association for Computing Machinery

Published: Feb 9, 2017

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