Abstract

In this paper, an experimental analysis to evaluate human skill on a machine manipulation is introduced for realization of human adaptive mechatronics(HAM). HAM is a novel concept of intelligent mechanical systems that adapt themselves to assist and improve the user's skill. Using a tele-operated wheel mobile robot and a maze task, we acquired data of which human became skilled, and analyzed them in order to know what index can evaluate human skill level. We applied three kinds of analyses, that are eye-gaze behavior analysis, analysis of feasible operation based on observed camera image and a pattern recognition by a Markov model.

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