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Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
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 …
Automatic recognition methods supporting pain assessment: A survey
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …
poorly understood, especially in infants, anesthetized patients, and others who cannot …
Multimodal spontaneous emotion corpus for human behavior analysis
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 …
or two. This stems in part from the lack of large, diverse, well-annotated, multimodal …
Automatic analysis of facial affect: A survey of registration, representation, and recognition
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 …
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
The faces of engagement: Automatic recognition of student engagementfrom facial expressions
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 …
goal in its own right. In this paper we explore approaches for automatic recognition of …
Py-feat: Python facial expression analysis toolbox
Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field
of affective computing have yielded impressive progress in automatically detecting facial …
of affective computing have yielded impressive progress in automatically detecting facial …
Deep pain: Exploiting long short-term memory networks for facial expression classification
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 …
of patients. Since this is costly in human resources and difficult to do objectively, there is the …
The computer expression recognition toolbox (CERT)
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 …
automatic real-time facial expression recognition, and officially release it for free academic …
BAUM-1: A spontaneous audio-visual face database of affective and mental states
In affective computing applications, access to labeled spontaneous affective data is
essential for testing the designed algorithms under naturalistic and challenging conditions …
essential for testing the designed algorithms under naturalistic and challenging conditions …
Detecting depression from facial actions and vocal prosody
Current methods of assessing psychopathology depend almost entirely on verbal report
(clinical interview or questionnaire) of patients, their family, or caregivers. They lack …
(clinical interview or questionnaire) of patients, their family, or caregivers. They lack …