In this paper, we discuss the problem of how human skill can be represented as a
parametric model using a hidden Markov model (HMM), and how an HMM-based skill model
can be used to learn human skill. HMM is feasible to characterize a doubly stochastic
process-measurable action and immeasurable mental states-that is involved in the skill
learning. We formulated the learning problem as a multidimensional HMM and developed a
testbed for a variety of skill learning applications. Based on" the most likely performance" …

In this paper, we discuss the problem of how human skill can be represented as a
parametric model using a hidden Markov model (HMM), and how a HMM-based skill model
can be used to learn human skill. HMM is feasible to characterize two stochastic processes-
measurable action and immeasurable mental states-which are involved in the skill learning.
We for-mulated the learning problem as a multi-dimensional HMM and developed a
programming system which serve as a skill learning testbed for a variety of applications …