Published Paper Details:

In todays world of technology human cannot survive without be- ing techno-freak. Just to get workplace environment friendly we are going to introduce six emotions and positive and negative emotion recognition methods using facial image and the the development of app based on the method. In this project we will use the Deep Learning technology to generate models with emotion based facial expressions to recognized emotions. Inevitebly feelings play an important role not only in our relations with other people but also in the way we use Computers. Affective computing is a domain that focuses on user emotions while he inter- acts with computers and applications. As emotional state of person may influence concentration, task solving and decision making skills, effective computing vision is to make system stable to recognize and influence human emotions in order to enhance productivity and ef- fectiveness of working with computers. We will develop an automated system to recognize six emotions along with positive and negatives in graphs and percentages. Thus, we recognize six emotions such as Angry, Disgust, Fear, Happy, Sad, Surprise. Also classified the calculated emotion recognition scores into pos- itive, negative and neutral emotions. Then we will implement an app that provides the user with six emotions scored and positive and negative emotions