Time evolution of face recognition in accessible scenarios View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Ramon Blanco-Gonzalo, Norman Poh, Rita Wong, Raul Sanchez-Reillo

ABSTRACT

Up to now, biometric recognition has shown significant advantages as to be considered a reliable solution for security systems in mobile environments. Nevertheless, due to the short lifetime of biometrics in mobile devices, a handful of concerns regarding usability and accessibility need to be covered in order to meet users’ requirements. This work is focused on analysing the usability and accessibility of a face recognition system used by visually impaired people, focusing on the time spent in the process, which is a critical aspect. Specifically, we cover different key questions including which kind of feedback is more useful for visually impaired users and beneficial for performance and how is the performance evolution in contrast with the time spent in the recognition. Our findings suggest that several parameters improve along with the time spent in the process, including performance. The audio feedback provided in real time involves also better performance and user experience than instructions given previously. More... »

PAGES

24

References to SciGraph publications

  • 2004-11. Distinctive Image Features from Scale-Invariant Keypoints in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2014. Usability Evaluation of Biometrics in Mobile Environments in HUMAN-COMPUTER SYSTEMS INTERACTION: BACKGROUNDS AND APPLICATIONS 3
  • 2014-12. An effective implementation of security based algorithmic approach in mobile adhoc networks in HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
  • 2010. On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation in RECOGNIZING PATTERNS IN SIGNALS, SPEECH, IMAGES AND VIDEOS
  • 2013-12. A framework to integrate speech based interface for blind web users on the websites of public interest in HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
  • 2014-12. Illumination invariant head pose estimation using random forests classifier and binary pattern run length matrix in HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
  • 2012. Occluded and Low Resolution Face Detection with Hierarchical Deformable Model in COMPUTER SCIENCE AND ITS APPLICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13673-015-0043-0

    DOI

    http://dx.doi.org/10.1186/s13673-015-0043-0

    DIMENSIONS

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