Abstract
Estimation method for human operation is implemented based on context data of action and state in this paper. The human operation model is generated using Hidden Markov Model (HMM). Since MHH can deal with longitudinal data, the change of human operation and the situation around the human are modeled so that the current state predicts next human operation. The human operation model is implemented to a TV game so that the professional player model helps the beginner player.
