The task of emotion recognition often involves the analysis of human expressions. Emotion Detection model detected through the integration of information from facial expressions, face movement and gestures, The technology is said to contribute in the emergence of the so-called emotional or emotive Internet.
Face-detection algorithms focus on the detection of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process.
Hand Sign Language
The main module consists of sign language modelling and recognition. Convolutional Neural Network is used to extract the visual information from inputs (images/video streams), including hand location and motion changes of hand poses. A classifier will be trained to recognize the sign alphabets.
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