Analisis Ekspresi Wajah Player Mobile Legends Menggunakan Metode Convolutional Neural Network

Human facial expressions are the result of physiological changes in the muscles of the face that give an emotions The appearance of facial expressions are the result of mental states that arise spontaneously and not through self-awareness in humans. Several universal categories of facial expressions except neutral are happy, sad, disgust, fear, angry and surprised. Facial expressions have an important role in non-verbal communication that arises because someone's feelings are implied on they face. This also applies when someone are playing Mobile Legends, facial expressions produced will also be influenced when the player is in certain conditions or moments. In this study, the authors predict human facial expressions (Frames by Frames) using the Deep Convolution Neural Network (CNN) and provide a percentage of the intensity of facial expressions generated in 12 situations or moments in Mobile Legends