The emerging field of affective computing focuses on enhancing computers' ability to
understand and appropriately respond to people's affective states in human-computer …

Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …

Emotion is an indispensable part of human emotion, which affects human normal
physiological activities and daily life decisions. Human emotion recognition is a critical …

We present a multimodal data set for the analysis of human affective states. The
electroencephalogram (EEG) and peripheral physiological signals of 32 participants were …

Video affective content analysis has been an active research area in recent decades, since
emotion is an important component in the classification and retrieval of videos. Video …

Recently, the field of automatic recognition of users' affective states has gained a great deal
of attention. Automatic, implicit recognition of affective states has many applications, ranging …

In this paper, a probability and integrated learning (PIL) based classification algorithm is
proposed for solving high-level human emotion recognition problems. Firstly, by simulating …

Currently the Brain-Compute Interface (BCI) is an outstanding research area where the goal
is to create an interaction channel between system and person brain. It provides direct way …

Emotion recognition via gait analysis is an active and key area of research because of its
significant academic and commercial potential. With recent developments in hardware …

The exponential growth of popularity of multimedia has led to needs for user-centric
adaptive applications that manage multimedia content more effectively. Implicit analysis …