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

This paper presents a user-independent emotion recognition method with the goal of
recovering affective tags for videos using electroencephalogram (EEG), pupillary response …

Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …

Emotions constitute an indispensable component of our everyday life. They consist of
conscious mental reactions towards objects or situations and are associated with various …

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 …

The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …

Neural network models of machine learning have shown promising prospects for visual
tasks, such as facial emotion recognition (FER). However, the generalization of the model …

There has been steady progress in the field of affective computing over the last two decades
that has integrated artificial intelligence techniques in the construction of computational …

In our present society, the cinema has become one of the major forms of entertainment
providing unlimited contexts of emotion elicitation for the emotional needs of human beings …

External stimulation, mood swing, and physiological arousal are closely related and induced
by each other. The exploration of internal relations between these three aspects is …