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Personal identification by flick input with acceleration sensor

Published: 09 January 2014 Publication History

Abstract

Flick input is usual input method on touch panels of smart phones. Inputted characters are decided by a touched place on the screen and by a moving direction from the place. There is a research in which users are identified with characteristics of flick input of them. However, the characteristics are not stable since users usually change their postures when they hold their smart phones. The accuracy of personal identification depends on postures of users in the research. Therefore, in this paper, we propose a new method which increases the accuracy of personal identification by obtaining postures of users from acceleration sensors on smart phones.

References

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Kobata, S., Terabayashi, Y., and Uda, R., 2013. Proposal of Method for Personal Identification with Flick Input. In Proceedings of the 15th IASTED International Conference on Control and Applications (Honolulu, USA, August 26-28, 2013). CA 2013, IASTED, Calgary, 136--142.
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Cited By

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  • (2014)Password security enhancement by characteristics of flick input with double stage C.V. filteringWorld Congress on Sustainable Technologies (WCST-2014)10.1109/WCST.2014.7030098(58-65)Online publication date: Dec-2014
  • (2014)Improvement of Personal Identification by Flick Input with Acceleration SensorProceedings of the 2014 IEEE 38th International Computer Software and Applications Conference Workshops10.1109/COMPSACW.2014.49(276-281)Online publication date: 21-Jul-2014

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Published In

cover image ACM Conferences
ICUIMC '14: Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
January 2014
757 pages
ISBN:9781450326445
DOI:10.1145/2557977
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 January 2014

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Author Tags

  1. flick input
  2. personal identification
  3. smart phone

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ICUIMC '14
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ICUIMC '14 Paper Acceptance Rate 116 of 407 submissions, 29%;
Overall Acceptance Rate 251 of 941 submissions, 27%

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Cited By

View all
  • (2014)Password security enhancement by characteristics of flick input with double stage C.V. filteringWorld Congress on Sustainable Technologies (WCST-2014)10.1109/WCST.2014.7030098(58-65)Online publication date: Dec-2014
  • (2014)Improvement of Personal Identification by Flick Input with Acceleration SensorProceedings of the 2014 IEEE 38th International Computer Software and Applications Conference Workshops10.1109/COMPSACW.2014.49(276-281)Online publication date: 21-Jul-2014

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