VISUAL EXPRESSION OF HUMAN EMOTION DETECTION
Gowri S
Computer Science and Engineering, Sri Eshwar College of Engineering , IN
Kavitha B
Computer Science and Engineering, Sri Eshwar College of Engineering , IN
Jeevika V
Computer Science and Engineering, Sri Eshwar College of Engineering , IN
Lavanya S
Computer Science and Engineering, Sri Eshwar College of Engineering , IN
Keywords: Computer vision, Machine Learning, Application Programming Interface, HAAR cascade classifier, Facial emotions.
Abstract
There are numerous ways to express and communicate our emotions. There are two types communication nonverbal and verbal. It has led to concentrate much on computer vision and Machine Learning. It has been done to obtain the emotions of humans. Application Programming Interface (API) can be applied to fetch images from camera based application in real time. HAAR cascade classifier is employed to take out the image features from the images. Support vector machines (SVM) is used to categorize these features into corresponding emotions. And these emotions are changed to corresponding emoji’s and these emoji’s are got placed over the actual face emotion as a mask. This project can be used to analyse different facial emotions that a machine can figure out.
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