This paper describes a new emotional detection system based on a video feed in real-time. It demonstrates how a bespoke machine learning support vector machine (SVM) can be utilized to provide quick and reliable classification. Features used in the study are 68-point facial landmarks. In a lab setting, the application has been trained to detect six different emotions by monitoring changes in facial expressions. Its utility as a basis for evaluating the emotional condition of people in situations using video and machine learning is discussed.
|Title of host publication||2018 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2018)|
|Place of Publication||Madrid, Spain|
|Publication status||Published - 3 Dec 2018|