Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …
system capable of automatically recognizing facial expressions from images and video has …
A survey of multidisciplinary domains contributing to affective computing
Affective computing intends to train computers with human-like abilities. It is a
multidisciplinary research field, in which interrelated domains like sociology, psychology …
multidisciplinary research field, in which interrelated domains like sociology, psychology …
Amigos: A dataset for affect, personality and mood research on individuals and groups
JA Miranda-Correa, MK Abadi… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …
on Individuals and GrOupS. Different to other databases, we elicited affect using both short …
ASCERTAIN: Emotion and personality recognition using commercial sensors
We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
Chalearn lap 2016: First round challenge on first impressions-dataset and results
V Ponce-López, B Chen, M Oliu, C Corneanu… - … October 8-10 and 15-16 …, 2016 - Springer
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 …
data and results obtained by the teams in the first round of the competition. The goal of the …
Nonlinear regression via deep negative correlation learning
Nonlinear regression has been extensively employed in many computer vision problems
(eg, crowd counting, age estimation, affective computing). Under the umbrella of deep …
(eg, crowd counting, age estimation, affective computing). Under the umbrella of deep …
Detecting personality traits using eye-tracking data
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 various traits are linked to a variety of real-life outcomes and behaviours. Personality …
Multimodal human-human-robot interactions (mhhri) dataset for studying personality and engagement
O Celiktutan, E Skordos… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …
First impressions: A survey on vision-based apparent personality trait analysis
JCSJ Junior, Y Güçlütürk, M Pérez… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …
processing fields, among others. From the past few years, it also became an attractive …
Personalized emotion recognition by personality-aware high-order learning of physiological signals
Due to the subjective responses of different subjects to physical stimuli, emotion recognition
methodologies from physiological signals are increasingly becoming personalized. Existing …
methodologies from physiological signals are increasingly becoming personalized. Existing …