Modeling correlations between multimodal physiological signals [eg, canonical correlation
analysis (CCA)] for emotion recognition has attracted much attention. However, existing …

Automatic recognition of human emotions is not a trivial process. There are many factors
affecting emotions internally and externally. Expressing emotions could also be performed in …

In recent years, emotion recognition using physiological signals has become a popular
research topic. Physiological signal can reflect the real emotional state for individual which …

In order to solve the problem that the emotion recognition rate of single-mode physiological
signals is not high in the physiological signals based emotion recognition, in this paper, we …

Recently, automatic emotion recognition has been established as a major research topic in
the area of human computer interaction (HCI). Since humans express emotions through …

How we perceive our environment affects the way we feel and behave. The impressions of
our ambient environment are influenced by its entire spectrum of physical characteristics …

In this study, we proposed a new adaptive method for fusing multiple emotional modalities to
improve the performance of the emotion recognition system. Three-channel forehead …

Using multimodal fusion method to deal with emotion recognition task has become a trend.
The fusion vector can more comprehensively reflect the subject's emotional change state, so …

Emotion recognition has attracted great interest. Numerous emotion recognition approaches
have been proposed, most of which focus on visual, acoustic or psychophysiological …

The design specification and software implementation of a physiological signal-based user-
independent emotion recognition system is proposed. The system will have various valuable …