A NOVEL APPROACH FOR THE DETECTION OF FACIAL EMOTION THROUGH MACHINE LEARNING ALGORITHMS

Building of emotion recognition system is designed by using the specification and implementation of a physiological signal. And such types of systems are very useful in the application in medicine, computing, education, and in security purpose. In proposed system should operate as a user-independent system, based on physiological signal databases attained from several peoples. Various physiological signals were obtained and measured such as electrocardiogram (ECG), Electromyography (EMG), heart rate (HR), respiration rate (RR), saturation of oxygen in the blood (SPO2), Systolic blood pressure(SBP), and diastolic blood pressure(DBP). photoplethysmography (PPG).In the proposed system, to recognize the Emotional Affect Recognition through Hybrid Approach along with the physiological signal. The combination of some of the methods such as HOG, LBP and Gabor filters provides feature descriptor all are is hybrid in nature but at the same time quite high in dimension. Using the statically data the proposed system is more accurate to recognize emotion.