“Mind Lift” – PersonalTherapist

Abstract

Facial expression recognition (FER) is one of the most popular
research interests in Computer Science and can be applied
in many real time applications. Most of the FER systems
apply machine learning techniques such as
Convolutional Neural Network and Support Vector Machine.
Although there are many researches on recognition of facial
expression, it is still a challenging task for computer
programs and also mobile applications. Therefore, this paper
proposed an Android application for FER using deep learning
technique that can recognize three facial expressions which
are happy, angry and surprise. FER model has been trained by
using Personal Image Classifier (PIC) based on facial
expression dataset from Kaggle and achieved 95% accuracy.
The trained model was later applied for Android application
development in MIT App Inventor. The proposed Android
application for FER has been successfully built, tested, and
uploaded into Google Play Store