Title :
A computational model of artificial emotion by using harmony theory and genetic algorithm
Author :
Hara, Fumio ; Mogi, Shusuke
Author_Institution :
Dept. of Mech. Eng., Sci. Univ. of Tokyo, Japan
Abstract :
This paper deals with a computational model of artificial emotion for “Active Human Interface” that generates emotion and facial expressions from the emotional evaluation state of external stimuli given to the model using the harmony theory, neural network and genetic algorithm. The harmony theory, a type of Boltzmann machine, is employed in this paper, and for this network system, we show a method of learning six basic emotions (joy, anger, sadness, fear, disgust and surprise). We also formulate schemata connecting emotional evaluation states and facial expressions consisting three facial components (eye, eyebrow and mouth). Simulation results show the successful emotion generation demonstrating the effectiveness of the genetic algorithm learning
Keywords :
face recognition; genetic algorithms; human factors; learning (artificial intelligence); neural nets; psychology; user interfaces; Boltzmann machine; active human interface; artificial emotion model; facial expressions; genetic algorithm; harmony theory; learning; neural network; schemata connecting emotional evaluation states; Artificial neural networks; Computational modeling; Computer interfaces; Computer networks; Eyebrows; Genetic algorithms; Humans; Joining processes; Machine learning; Mouth;
Conference_Titel :
Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1407-7
DOI :
10.1109/ROMAN.1993.367682
