Friendly partner system of poker game with facial expressions

This paper aims at the construction of a partner system with facial expressions, which plays a seven-card stud poker game with a human player against an opponent player. If a human player needs some advice on a game, the partner system has various facial expressions according to the current situation. Fuzzy theory is applied to decision-making part in the partner system and neural network is applied to the facial expressions part in the partner system. This paper also performs subject experiments to confirm the friendliness of the presented partner system with facial expressions, where each subject plays games with/without facial expressions.