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Model of a human-machine system to express the process of cognition-intention-action is presented by referring a concept of an attention in Global Workspace Theory. Based on the model, new approach to estimate intentions of an operator who manipulates machines is proposed by utilizing Self-Organizing Map (SOM) and the Bayes filtering. Probabilities of transition of intentions are approximated by SOM...
To realize new kinds of human-machine system proposed as human adaptive mechatronics (HAM), experimental analyses to elucidate human's skill is reported in this paper. For skilled operation, we has been thinking that an adequate self-switching of reference targets on the manipulation is important. To prove this idea, we designed a special task by using virtual computer graphics of a hovercraft, measured...
Most ordinary machines are not designed to assist human to improve one's skill. Human is often demanded to learn an operation of a machine implicitly. To improve this situation, new-generation machine has to consider user's skill, and to assist the human-machine system to achieve best performance. As the first stage, a function to evaluate user's skill is needed to the new mechatronics. In this paper,...
Consideration of human skill is necessary to enhance total performance of human-machine system and to assist the human operation. We guess that human skill level may be evaluated by checking the task scheduling of the operator on a general machine manipulation. Based on this hypothesis, in this paper, we propose a vision-based method to evaluate ability of human task-scheduling by monitoring a hand...
Human adaptive mechatronics (HAM) is an intelligent mechanical system that adapts themselves to human skill under various environments, improves human skill, and assists the operation to achieve best performance of the human-machine system. In this new kind of human-machine system, human factor has to be taken into consideration for the motion-control design. In this paper, several topics of system...
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