Affiliation:
1. Anyang Normal University
Abstract
In spite of the growing focus on human-computer interaction design promoted by researchers and practitioners, there remains a large user population that is generally overlooked: people with physical disabilities. Most of HCI of disabled require wearing extra instruments, the HCI based on the camera is easy, efficient and comfortable. In this paper, we combined the applied and basic research, both drawing from psychological research and contributing new ideas to compare some HCI based on camera. We discuss user and products, and technology, highlighting challenges, open issues, and emerging applications for HCI based on camera of disabled.
Publisher
Trans Tech Publications, Ltd.
Reference6 articles.
1. Babcock, J., S., Eye Tracking Observers during Color Image Evaluation Tasks," Master,s Thesis: New York: Rochester Institute of Technology, (2002).
2. Green, P. Review of Eye Fixation Recording Methods and Equipment, , Technical Report UMTRI9228, IVHS Technical Report 92-20, Ann Arbor, MI: The University of Michigan Transportation Research Institute, (1992).
3. Cohen, A. S. Informationsaufnahme beim Befahren von Kurven, Psychologie für die Praxis 2/83, Bulletin der Schweizerischen Stiftung für Angewandte Psychologie, (1983).
4. Bulling, A. et al.: Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography, Proc. of the 6th International Conference on Pervasive Computing (Pervasive 2008), ,Sydney, Australia, May (2008),p.19–37.
5. S. Prabhakar, S. Pankanti, A. K. Jain, Biometric Recognition: Security and Privacy Concerns,, IEEE Security & Privacy, March/April,(2003),pp.33-42.
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