Affective Information Processing and Recognizing Human Emotion

Abstract

Information recognition and extraction of human emotions are necessary for machines to communicate smoothly with humans and to realize emotion communications. We focus on human psychological characteristics to develop general-purpose agents that can recognize human emotion and create machine emotion. We comprehensively analyze brain waves, voice sounds and picture images that represent information included in emotion elements of phonation, facial expressions, and speech usage. We analyze and estimate many statistical data based on the latest achievements of brain science and psychology in order to derive transition networks for human psychological states. We establish a speaker word model for researching computer simulation of psychological change and emotional presentation, developing emotion interface, and establishing theoretic structure and realization method of emotion communication. A new approach for recognizing human emotion based on Mental State Transition Network will be described and one emotion estimation method based on sentence pattern of emotion occurrence events will be discussed, and some new results of the project will be given.

An improved method of extracting emotional attribute of relations based on syntactical analysis

“…Recent research reveals that relations of different emotions such as positive and negative relations play different roles in social network. How to extract emotional attribute [3] and describe social network more precisely is the problem should be solved. Although some work has been done in the field, the result is not satisfactory.…”

Recognizing sentence emotions based on polynomial kernel method using Ren-CECps

“…Given the importance of computer mediated communication (CMC), a lot of reasearches have been done on emotion recognition [1], [2]. At the same time, textual emotion recognition is increasingly attracting attention.…”

Simple linguistic processing effect on multi-label emotion classification

“…Researchers have tried to detect the emotion state of the intelligent interfaces users in many ways, and these works are dubbed as "affective computing" by Picard [1]. Several new interesting areas based on texts in this field are opened up to benefit human-computer interactions and other modalities like speech or facial expressions sensing [2] [3].…”