期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：82
期号：1
出版社：Journal of Theoretical and Applied
摘要：Human-human communication in social environment is only possible through speech, facial expressions and bodily changes. In this research work, speech and facial expressions is used in order to estimate basic emotions (angry, sad, happy, boredom, disgusting and surprise) using a computer. A new asynchronous hybrid technique through Relative Bin Frequency Coefficients (RBFC) and Relative Sub-Image Base (RSB) is used in order to deal with the above modalities which are different in time, scale and dimension. Support Vector Machine (SVM) is used for classification. From experimental results, the proposed system performs better than the conventional systems.
关键词：Relative Bin Frequency Coefficient (RBFC); Relative Sub-Image Based Coefficients (RSB); Human Computer Interaction (HCI); Support Vector Machine (SVM); Principal Component Analysis (PCA).
