Open AccessA Study on the Psychological Analysis System Using Machine Learning
Author(s) -
Ki Young Lee,
Kyu Ho Kim,
Jeong-Jin Kang,
Sung Jai Choi,
Yong Soon Im,
Gyoo Seok Choi
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.33.18591
Subject(s) - linear discriminant analysis , computer science , psychological analysis , principal component analysis , graphics , descriptive statistics , basis (linear algebra) , human–computer interaction , k nearest neighbors algorithm , facial expression , artificial intelligence , speech recognition , multimedia , psychology , computer graphics (images) , social psychology , statistics , mathematics , geometry
Real-time facial expression recognition and analysis technology is recently drawing attention in areas of computer vision, computer graphics, and HCI. Recognition of user’s emotion on the basis of video and voice is drawing particular interest. The technology may help managers of households or hospitals. In the present study, video and voice were converted into digital data through MATLAB by using PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis), KNN(K Nearest Neighbor) algorithms to analyze emotions through machine learning. The manager of the psychological analysis counseling system may understand a user’s emotion in an smart phone environment. This system of the present study may help the manager to have a smooth conversation or develop a smooth relationship with a user on the basis of the provided psychological analysis results.