Participant identification in haptic systems using Hidden Markov Models

被引：0

作者：

Asfaw, Y ^{[1
]}

Orozco, M ^{[1
]}

Shirmohammadi, S ^{[1
]}

El Saddik, A ^{[1
]}

Adler, A ^{[1
]}

机构：

[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON, Canada

来源：

2005 IEEE INTERNATIONAL WORKSHOP ON HAPTIC AUDIO VISUAL ENVIRONMENTS AND THEIR APPLICATIONS | 2005年

关键词：

biometrics; haptic systems; measurement of haptic interaction; Hidden Markov Models;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：127 / 132

页数：6

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