On The Frontiers of Basic and Compound Emotion
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Date
2018
Authors
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Publisher
University of Management & Technology
Abstract
Automatic facial recognition is a challenging task due to the various categories of emotions. It has gained a lot of attention by researchers in multimedia retrieval and human computer interaction and related disciplines.The human face is the natural way of non-verbal communication for human interaction. In real life scenario, facial expressions and emotions are nothing but responses to the external and internal events of human being. Although, for the last decades, there has been immense development and mining of static images and dynamic images techniques for basic emotion and compound emotions detection but still, more work needs to be done. Every technique has its own uniqueness, performance and limitations. A lot of researches have been done regarding basic emotion and compound emotion detection that needs to be reviewed and summarized.
This thesis is consisted of four main parts. The first is the encapsulation of the research papers of basic and compound emotion detection according to different algorithms & techniques. Second is the distribution of research papers of basic and compound emotion detection in the form of different eras. Third it discusses the data-sets that are used in different research papers. Fourth is the proposed methodology to detect and recognized the basic and compound emotions with the help of geometric features. Boosted classifiers are used for classification.
Description
Dr Umar Suleman
Keywords
Basic and Compound Emotion Detection, Active Appearance Model , Facial Animation Parameters, uman computer interaction , emotion detection , facial expressions, MS