This paper proposes complex emotion recognition system for a specific user ,where complex emotion has mingled emotions. In order to show the differences between individuals, we use Self-Organizing Feature Map(SOM) for proposed system. Additionaly, in order that emotion recognition system expresses complex emotion, we propose new method for labeling. We verify proposed system using emotional spe...

The current study examined the nature of deficits in emotion recognition from facial expressions in case LG, an individual with a rare form of developmental visual agnosia (DVA). LG presents with profoundly impaired recognition of facial expressions, yet the underlying nature of his deficit remains unknown. During typical face processing, normal sighted individuals extract information about exp...

The current study examined the nature of deficits in emotion recognition from facial expressions in case LG, an individual with a rare form of developmental visual agnosia (DVA). LG presents with profoundly impaired recognition of facial expressions, yet the underlying nature of his deficit remains unknown. During typical face processing, normal sighted individuals extract information about exp...

Speech emotion recognition is an important issue in the development of human-computer interactions. In this paper a series of novel robust features for speech emotion recognition is proposed. Those features, which derived from the Hilbert-Huang transform (HHT) and Teager energy operator (TEO), have the characteristics of multi-resolution, self-adaptability and high precision of distinguish abil...

This study aimed to evaluate the emotion recognition abilities of adults (n=23) with an intellectual disability (ID) compared with a control group of children (n=23) without ID matched for estimated cognitive ability. The study examined the impact of: task paradigm, stimulus type and preferred processing style (global/local) on accuracy. We found that, after controlling for estimated cognitive ...

Today, the computer and its applications has invaded our daily life, Ubiquitous Computing. The interaction between the users and computing devices is becoming similar to human-human interactions. The integration of emotion recognition in Human-Computer Interaction aims at making the interaction easier and smarter, natural interaction. This paper, presents a brief survey on current state of the ...

In this paper, we are focused on a mobile human emotion recognition system which is based on biosignal. Cardio signal is a proper bio-signal for emotion recognition and we use photoplethysmography (PPG) sensors to gather cardio signals. We mainly consider real-time heart rate variability (HRV) analysis which is essential to mobile emotion recognition. A mobile sensor module embedding a digital ...

We report preliminary results on emotion recognition by machine from joint audiovisual input of facial video and speech. The results show potential advantages in using both modalities over either modality alone. Recognition rate for audio alone is about 75% and video alone about 70%. Using audiovisual data we achieved 97% without increasing the number of features. The improvement in performance...

Parkinson's disease (PD) has been frequently associated with facial emotion recognition impairments, which could adversely affect the social functioning of those patients. Facial emotion recognition requires processing of the spatial relations between facial features, known as the facial configuration. Few studies, however, have investigated this ability in people with PD. We hypothesized that ...

In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition. First, we extract the basic speech features including pitch frequency, formant frequency and short-term intensity. Based on the low level descriptor we further construct the statistic features including maximum, minimum,...