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 …

Automatic recognition methods supporting pain assessment: A survey

P Werner, D Lopez-Martinez, S Walter… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …

Automatic analysis of facial affect: A survey of registration, representation, and recognition

E Sariyanidi, H Gunes… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Multimodal spontaneous emotion corpus for human behavior analysis

Z Zhang, JM Girard, Y Wu, X Zhang, P Liu… - Proceedings of the …, 2016 - cv-foundation.org
Emotion is expressed in multiple modalities, yet most research has considered at most one
or two. This stems in part from the lack of large, diverse, well-annotated, multimodal …

The faces of engagement: Automatic recognition of student engagementfrom facial expressions

J Whitehill, Z Serpell, YC Lin, A Foster… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …

Deep pain: Exploiting long short-term memory networks for facial expression classification

P Rodriguez, G Cucurull, J Gonzàlez… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Pain is an unpleasant feeling that has been shown to be an important factor for the recovery
of patients. Since this is costly in human resources and difficult to do objectively, there is the …

The computer expression recognition toolbox (CERT)

G Littlewort, J Whitehill, T Wu, I Fasel… - … on Automatic Face & …, 2011 - ieeexplore.ieee.org
We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully
automatic real-time facial expression recognition, and officially release it for free academic …

Detecting depression from facial actions and vocal prosody

JF Cohn, TS Kruez, I Matthews, Y Yang… - 2009 3rd …, 2009 - ieeexplore.ieee.org
Current methods of assessing psychopathology depend almost entirely on verbal report
(clinical interview or questionnaire) of patients, their family, or caregivers. They lack …

BAUM-1: A spontaneous audio-visual face database of affective and mental states

S Zhalehpour, O Onder, Z Akhtar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In affective computing applications, access to labeled spontaneous affective data is
essential for testing the designed algorithms under naturalistic and challenging conditions …

[HTML][HTML] Exploration of physiological sensors, features, and machine learning models for pain intensity estimation

F Pouromran, S Radhakrishnan, S Kamarthi - Plos one, 2021 - journals.plos.org
In current clinical settings, typically pain is measured by a patient's self-reported information.
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …