A New Era of Emotion Recognition
Keywords:
Color Space, Edge Detection, Face Detection, PCAAbstract
Emotion of a person plays important role in life because we cannot express our feelings or emotions in words, facial
expression or gesture to express emotions. A human face does not only identify an individual but also communicates
useful information about a person’s emotional state. Facial Expression gives important information about emotion of a
person. Face emotion recognition is one of the main applications of machine vision that widely attended in recent years.
It can be used in areas of security, entertainment and human machine interface (HMI). Emotion recognition usually uses
of science image processing, speech processing, gesture signal processing and physiological signal processing. In this
paper a new algorithm based on a set of images to face emotion recognition has been proposed. This process involves
four stages pre-processing, edge detection, feature extraction, face detection.
