Human emotion recognition: Review of sensors and methods
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …
which use human emotional reactions as a signal for marketing, technical equipment, or …
Emotion context insensitivity in depression: Toward an integrated and contextualized approach
LM Bylsma - Psychophysiology, 2021 - Wiley Online Library
Major depressive disorder (MDD) is characterized by pervasive mood disturbance as well as
deficits in emotional processing, reactivity, and regulation. There is accumulating evidence …
deficits in emotional processing, reactivity, and regulation. There is accumulating evidence …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Color and emotion: effects of hue, saturation, and brightness
L Wilms, D Oberfeld - Psychological research, 2018 - Springer
Previous studies on emotional effects of color often failed to control all the three perceptual
dimensions of color: hue, saturation, and brightness. Here, we presented a three …
dimensions of color: hue, saturation, and brightness. Here, we presented a three …
Gender differences in emotional response: Inconsistency between experience and expressivity
The present study investigated gender differences in both emotional experience and
expressivity. Heart rate (HR) was recorded as an indicator of emotional experience while the …
expressivity. Heart rate (HR) was recorded as an indicator of emotional experience while the …
LIRIS-ACCEDE: A video database for affective content analysis
Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …
computational models for machine-based emotion understanding. In this paper, we propose …
A Human–Computer Interaction framework for emotion recognition through time-series thermal video sequences
Abstract Infrared-Thermal Imaging is a non-contact mechanism for psychophysiological
research and application in Human–Computer Interaction (HCI). Real-time detection of the …
research and application in Human–Computer Interaction (HCI). Real-time detection of the …
A film set for the elicitation of emotion in research: A comprehensive catalog derived from four decades of investigation
TL Gilman, R Shaheen, KM Nylocks… - Behavior research …, 2017 - Springer
Emotions are highly influential to many psychological processes. Indeed, research
employing emotional stimuli is rapidly escalating across the field of psychology. However …
employing emotional stimuli is rapidly escalating across the field of psychology. However …
Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
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 …
applications in daily life from monitoring emotional well-being to improving the quality of life …
Emotional ratings and skin conductance response to visual, auditory and haptic stimuli
The human emotional reactions to stimuli delivered by different sensory modalities is a topic
of interest for many disciplines, from Human-Computer-Interaction to cognitive sciences …
of interest for many disciplines, from Human-Computer-Interaction to cognitive sciences …