Abstract: Recognizing, extracting and validating various emotions from facial expressions has become an important part of improving the overall human computer interaction. Facial expressions give important information about the emotions of a person. Automatic emotion recognition using facial detection is henceforth a major area of interest within various fields. This paper reviews the literature on different aspects, such as image processing, face detection and emotion recognition. Different comparative methods for automatically recognizing facial actions in successive images are discussed. Different theories of emotions and defining unique methods for studying a variety of images in databases as well as detecting different ways of extracting emotions are studied. The purpose of this survey is also to identify and extensively study the framework, components and papers related to image processing and emotion recognition. This also helps us to establish the significance of the general fields of image processing and emotion recognition and thus help identify where a new contribution pertaining to these fields could be made.
Keywords: Image processing, Computer vision, emotion recognition, face detection.
Title: Live Analysis Using Emotion Recognition
Author: Nandhini Vineeth, Pranav Udupa, Prasad Majali, Sagar Shetty, Sivaranjani Suresh
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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