Abstract
A major challenge for people with vision impairments ranging from severely low visual acuity to no light perception (NLP) is identifying or distinguishing the difference between objects of similar size and shape. For many of these individuals, locating and identifying specific objects can be an arduous task. This paper explores the design and evaluation of the “Helping Hand”: A radio frequency identification (RFID) glove that audibly identifies tagged objects. In this paper we describe the design of a wearable RFID apparatus used for object identification. We evaluated the effectiveness of the glove by conducting a three-arm randomized controlled study. In our experiment, we compare a baseline (no assistive device), RFID (Helping Hand) and computer vision (ERSP Vision Software) in identifying common household objects. We also administered a questionnaire to obtain subjective data about the usability experience of the participants. Our experimental results show a reduction in the amount of time required to identify objects when using the Helping Hand glove versus the other two methods.
Chapter PDF
Similar content being viewed by others
References
Visual impairment and blindness. World Health Organization (May 2009), http://www.who.int/mediacentre/factsheets/fs282/en/
Vision loss United States Department of Veterans Affairs (May 2009), http://www.research.va.gov/resources/pubs/docs/Vision-Loss.pdf
Wendy Strouse Watt, O.D.: How Visual Acuity is measured (October 2003), http://www.mdsupport.org/library/acuity.html (accessed: 8/1/2010) (Online)
Bierdman, I.: Visual Object Recognition. MIT Press, An Invitation to Cognitive Science Cambridge (1995)
Lacey, Simon, Peters, A., Sathian, K.: Cross-Modal Object Recognition is Viewpoint-Independent. PMC 2(9) (2007)
Sensation and perception By E. Bruce Goldstein. p. 340 8th Edition Wadsworth
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lawson, M.A., Do, E.YL., Marston, J.R., Ross, D.A. (2011). Helping Hands versus ERSP Vision: Comparing Object Recognition Technologies for the Visually Impaired. In: Stephanidis, C. (eds) HCI International 2011 – Posters’ Extended Abstracts. HCI 2011. Communications in Computer and Information Science, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22098-2_77
Download citation
DOI: https://doi.org/10.1007/978-3-642-22098-2_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22097-5
Online ISBN: 978-3-642-22098-2
eBook Packages: Computer ScienceComputer Science (R0)