EXPRESSION EVALUATOR SYSTEM

Abstract

“To evaluate different emotions depicted on human behavior mathematically.” The researches of Emotional psychology show that human emotion is composed by expression behavior, subjective experience, and physiological activation. Facial expression is the main symbol to identify emotion and expression is the external symbol of individual emotion and. They are a primary means of conveying information among humans, and also occur in most other mammals and some other animal species. To some extent Facial expressions and their significance in the perceiver varies between cultures. Usually people not only reflect feeling on their face, but also understand the feeling of others by observing their facial expression. Some expressions can be accurately interpreted even between members of different species- for example anger. Flowever, others are difficult to interpret even in familiar individuals. For example, disgust and fear can be tough to tell apart, as faces have only a limited range of movement, expressions rely upon minuscule differences in the proportion and relative position of features on face, and reading them all requires a lot of considerable sensitivity to same. Some faces are often falsely read as expressing some emotion, even when they are neutral. Theorists have argued that facial expressions of emotion serve the interpersonal function of allowing one person to predict another’s behavior. Humans can extend these predictions into the indefinite future, for example in the case of trait inference. The hypothesis that facial expressions of emotion (e.g., happiness, sadness, fear, anger, and disgust) affect persons’ interpersonal trait inferences (e.g., affiliation and dominance) were tested in two experiments. Subjects rated the dispositional affiliation and dominance of target faces with either apparently moving expressions or static. They inferred high affiliation and dominance from happy expressions, low affiliation and high dominance from angry