We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …

We present AMIGOS-A dataset for Multimodal research of affect, personality traits and mood
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …

In this work, we present DECAF-a multimodal data set for decoding user physiological
responses to affective multimedia content. Different from data sets such as DEAP [15] and …

The stable relationship between personality and EEG ensures the feasibility of personality
inference from brain activities. In this paper, we recognize an individual's personality traits by …

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

Smart wearables, equipped with sensors monitoring physiological parameters, are
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …

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

We present automated, real-time models built with machine learning algorithms which use
videotapes of subjects' faces in conjunction with physiological measurements to predict …

An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

In affective computing applications, access to labeled spontaneous affective data is
essential for testing the designed algorithms under naturalistic and challenging conditions …