Абстрактный

Cognitive Human Emotion Detection with Vocal Output

Shubham Metha, Vardaan Agarwal, Shailesh Bhave, Prof. R.P.Onkare

Face recognition process pertains to recognizing meaningful expressions of emotion by a human, involving angry, happy, fear, sad, disgust and anger. It is of utmost importance in designing an intelligent and efficient human computer interface. The face is a rich source of information about human behaviour. The proposed method will recognize the facial expression from a well captured image. The approach for Facial Expression Recognition System is based on Neural Network. For any Facial Expression Recognition, it is necessary to extract the features of face that can be possibly used to detect the expression. For Feature Extraction the Support Vector Machines will be used. After extracting the features the eigenvectors will be generated. This will be further fed into the Neural Network for Emotion Recognition. The paper briefly describes the schemes for selecting the image and then processing the image to recognize the expressions.