Philippine E-Journals

Asynchronous Facial Emotion Recognition (FER) of the Faculty Members of College of Engineering and Computer

Paul Christen Garcia | Ancel Jeremy Paul Designaño | Mirafe R. Prospero

 

Abstract:

Nowadays, more and more people are highly dependent on technology, most especially with the proliferation of smart phones. Hence, more and more data are being produced and stored like images and videos. Hence, in the advent of these data, the challenges to utilize these images are an interesting research topic with the aid of deep learning algorithms and frameworks. The objective of the study is to identify emotion thru facial images using CNN (Convolutional Neural Network) and Haar using Spyder-Phython an openCV platform. By implementing deep learning algorithm the proponents had asynchronously classified the emotion of the faculty of the College of Engineering and Computer Studies, using the six types of emotions, namely; happy, sad, angry, surprise, fear and the neutral emotions that can be used to link on the behavioral pattern of an instructor that is an essential endeavor that can be used in continuous studies on the effect of emotions emulated by teachers while teaching on the ability of the students to learn more.