Authors:-Â Hemavathi E M , Savitri N, Dikshita Ramesh Babu*, Amrutha S J, Revathi S
Abstract:-Facial expression plays a pivotal role in nonverbal communication; the primary objective of facial expression is to conveying the social information between the humans. The Face and Facial Expression Recognition system is the process of determining and recognizing the expression state of an individual and group of people. It involves two step processes that is face detection and facial expression classification where the facial expression is classified into seven categories such as fear, angry, happy, neutral, surprise, sad and disgust accordingly. This paper will make uses a well known model called CNN (convolution neural network) model which plays an important role in Image recognition, Video analysis, Natural language processing and Drug discovery etc.., This paper validates the two different models such as face detection and face recognition models, which are simultaneously using our proposed CNN architecture to detect and classify the human frontal face expression. Audience Measurement is measured for facial expression recognition that is, the system gives the total count of people whose faces are detected as well as count of people possessing various facial expressions.
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