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Summary: HAVE 2005 IEEE International Workshop on
Haptic Audio Visual Environments and their Applications
Ottawa, Ontario, Canada, 1-2 October 2005
0-7803-9377-5/05/$20.00 ©2005 IEEE
Participant Identification in Haptic Systems Using Hidden Markov Models
Yednek Asfaw, Mauricio Orozco, Shervin Shirmohammadi, Abdulmotaleb El Saddik, Andy Adler
School of Information Technology and Engineering
University of Ottawa, Ottawa, Canada
{morozco,shervin,abed}@discover.uottawa.ca, {adler,yasfaw}@site.uottawa.ca
Abstract Biometric systems allow identification of
individuals based on behavioral or physiological
characteristics. In this paper we explore biometric
applications in access control of haptic systems. These
systems produce information on human computer interaction
behavior of a specific participant and could potentially be
unique. This paper proposes a novel design based on Hidden
Markov Models (HMM). Architecture is developed where
each participant has an HMM model. Results are promising
in that they show three out of four users identified correctly
from their respective models based on the Match Score (MS)
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