Results 61 to 70 of about 5,355,300 (381)
Frontiers in Psychology, 2020 Human faces express emotions, informing others about their affective states. In order to measure expressions of emotion, facial Electromyography (EMG) has widely been used, requiring electrodes and technical equipment.
Louisa Kulke +2 more
semanticscholar +1 more source
The language context effect in facial expressions processing and its mandatory characteristic
Scientific Reports, 2019 Background visual scenes in which faces are perceived provide contextual information for facial expression processing. One type of background information, the language context, has a vital influence on facial expression processing.
Shen Liu +8 more
doaj +1 more source
AIMS Neuroscience, 2021 Facial expression of humans is one of the main channels of everyday communication. The reported research work investigated communication regarding the pattern of emotional expression of healthy older adults and with mild cognitive impairments (MCI) or ...
Justyna Gerłowska +2 more
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Frame Attention Networks for Facial Expression Recognition in Videos [PDF]
International Conference on Information Photonics, 2019 The video-based facial expression recognition aims to classify a given video into several basic emotions. How to integrate facial features of individual frames is crucial for this task.
Debin Meng +3 more
semanticscholar +1 more source
A Survey of the Trends in Facial and Expression Recognition Databases and Methods
, 2015 Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security ...
Emmons, Michelle, Roychowdhury, Sohini
core +1 more source
FERAtt: Facial Expression Recognition With Attention Net [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 We present a new end-to-end network architecture for facial expression recognition with an attention model. It focuses attention in the human face and uses a Gaussian space representation for expression recognition.
Pedro D. Marrero-Fernández +3 more
semanticscholar +1 more source
IEEE Access, 2023 Aiming at the problem of insufficient feature extraction and low recognition rate of traditional convolutional neural network in facial expression recognition, a multi-layer feature recognition algorithm based on three-channel convolutional neural ...
Ying He +3 more
doaj +1 more source
The Facial Expression Module [PDF]
, 2006 In current dialogue systems the use of speech as an input modality is common. But this modality is only one of those human beings use. In human-human interaction people use gestures to point or facial expressions to show their moods as well. To give modern systems a chance to read information from all modalities used by humans, these systems must have ...
Frank, Carmen +6 more
openaire +3 more sources
Misrecognition of facial expressions in delinquents [PDF]
Child and Adolescent Psychiatry and Mental Health, 2009 Previous reports have suggested impairment in facial expression recognition in delinquents, but controversy remains with respect to how such recognition is impaired. To address this issue, we investigated facial expression recognition in delinquents in detail.We tested 24 male adolescent/young adult delinquents incarcerated in correctional facilities ...
Sato, Wataru +3 more
openaire +3 more sources
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
, 2018 Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Chen, Jiawei +2 more
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