Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Affective computing intends to train computers with human-like abilities. It is a
multidisciplinary research field, in which interrelated domains like sociology, psychology …

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 …

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

This paper summarizes the ChaLearn Looking at People 2016 First Impressions challenge
data and results obtained by the teams in the first round of the competition. The goal of the …

Nonlinear regression has been extensively employed in many computer vision problems
(eg, crowd counting, age estimation, affective computing). Under the umbrella of deep …

Personality is an established domain of research in psychology, and individual differences
in various traits are linked to a variety of real-life outcomes and behaviours. Personality …

In this paper we introduce a novel dataset, the Multimodal Human-Human-Robot-
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …

Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …

Due to the subjective responses of different subjects to physical stimuli, emotion recognition
methodologies from physiological signals are increasingly becoming personalized. Existing …