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Use of facial motion capture for hands free control of computer applications

Published: 22 August 2013 Publication History

Abstract

In this work, we propose a framework that enables the use of facial motion capture data as a means of user interface.

References

[1]
Betke, M., Gips, J., and Fleming, P. 2002. The camera mouse: visual tracking of body features to provide computer access for people with severe disabilities. Neural Systems and Rehabilitation Engineering, IEEE Transactions on 10, 1, 1--10.
[2]
Varona, J., Manresa-Yee, C., and Perales, F. J. 2008. Hands-free vision-based interface for computer accessibility. J. Netw. Comput. Appl. 31, 4 (Nov.), 357--374.
[3]
Vasanthan, M., Murugappan, M., Nagarajan, R., Ilias, B., and Letchumikanth, J. 2012. Facial expression based computer cursor control system for assisting physically disabled person. In Communication, Networks and Satellite (ComNetSat), 2012 IEEE International Conference on, 172--176.
[4]
Weise, T., Bouaziz, S., Li, H., and Pauly, M. 2011. Realtime performance-based facial animation. ACM Trans. Graph. 30, 4 (July), 77:1--77:10.
  1. Use of facial motion capture for hands free control of computer applications

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    cover image ACM Conferences
    SAP '13: Proceedings of the ACM Symposium on Applied Perception
    August 2013
    150 pages
    ISBN:9781450322621
    DOI:10.1145/2492494
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 22 August 2013

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    • Research-article

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    SAP' 13
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    SAP' 13: ACM Symposium on Applied Perception 2013
    August 22 - 23, 2013
    Dublin, Ireland

    Acceptance Rates

    SAP '13 Paper Acceptance Rate 22 of 54 submissions, 41%;
    Overall Acceptance Rate 43 of 94 submissions, 46%

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