A NOVEL OPTIMIZATION ALGORITHM TO DETECT HUMAN EMOTIONS USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Human emotion detection algorithm using a novel optimization procedure is proposed, using artificial intelligence techniques such as exhaustive search, fuzzy logic and neural networks in addition to data mining. The originally proposed model [1] had fourteen measurable physical and physiological input variables and twenty two human emotions as output. The goal for the work addressed in this research is to optimize the model by minimizing the required number of input factors to detect an emotion with acceptable and tolerable error values. In so doing, it is anticipated that the number of sensors needed to build the system will be reduced, thereby cutting down on system complexity and the associated economic costs.