Human intention estimation using time-varying fuzzy markov models for natural non-verbal human robot interface

Authors:
Peter Liu;Chang-En Yang
Affiliations:
Department of Electrical Engineering, Tamkang University, New Taipei city, Taiwan;Department of Electrical Engineering, Tamkang University, New Taipei city, Taiwan
Venue:
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
Year:
2012

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Abstract

In this paper, we establish a time-varying fuzzy Markov model to estimate human intention for natural non-verbal human robot interface. Based on human posture information, we change the probability between states to improve the accuracy of estimation of human intention. The advantages of the approach are three fold: i) non-verbal information is core of natural interaction; ii) time-varying probability improves estimation accuracy; and iii) fuzzy inference consider practical human experience.