Emotion Recognition based on Facial Expression Identification using Deep Learning Algorithm for Automation Music Healing Application

¹ Automotive and Robotics Program, Computer Engineering Department, BINUS ASO School of Engineering, Bina Nusantara University, Jakarta, Indonesia
² Architecture Engineering Department, Bina Nusantara University, Jakarta, Indonesia
³ Business Engineering Program, Industrial Engineering Department, BINUS ASO School of Engineering, Bina Nusantara University, Jakarta, Indonesia

^* Corresponding author: wastuti@binus.edu

Abstract

Daily activities, particularly in the workplace or other societal settings, can cause stress and pressure for those who must manage them. This stress can lead to decreased performance and achievement in daily tasks, and in more severe cases, individuals may seek consultation with a psychiatrist to address their stress and pressure. This work presents a system for emotion identification based on face expression recognition system. The system processes the face expression image using Convolution Neural Network (CNN). The face expression image is extracted and modeled based on CNN method. The identification result sent to database which transferred to the Android application played the song based on emotion identification. The system is installed on an Android cell phone, making it flexible and portable. The system has achieved 70% and 80% accuracy in emotion detection during training and testing, respectively.