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Participant Identification in Haptic systems using Hidden Markov Model

By Yednek Asfaw, Mauricio Orozco, Shervin Shirmohammadi, Abdulmotaleb El Saddik and Andy Adler


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) values

Topics: Haptic Systems, Measurement of Haptic Interaction, Hidden Markov Models
Year: 2005
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