Results 31 to 40 of about 237,985 (287)
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
IEEE Access, 2023 Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic.
H. M. Shahzad +4 more
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Frontiers in Neurology, 2016 Background: Altered emotional processing, including reduced emotion facial expression and defective emotion recognition, has been reported in patients with Parkinson’s disease (PD).
Matteo Bologna +9 more
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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
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Face expression recognition based on NGO-BILSTM model
Frontiers in Neurorobotics, 2023 IntroductionFacial expression recognition has always been a hot topic in computer vision and artificial intelligence. In recent years, deep learning models have achieved good results in accurately recognizing facial expressions.
Jiarui Zhong, Tangxian Chen, Liuhan Yi
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Deep Learning For Smile Recognition [PDF]
, 2016 Inspired by recent successes of deep learning in computer vision, we propose a novel application of deep convolutional neural networks to facial expression recognition, in particular smile recognition.
Glauner, Patrick O.
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Facial expression recognition via ResNet-50
International Journal of Cognitive Computing in Engineering, 2021 As one of the most important directions in the field of computer vision, facial emotion recognition plays an important role in people's daily work and life. Human emotion recognition based on facial expressions is of great significance in the application
Bin Li, Dimas Lima
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Recognising the ageing face: the role of age in face processing [PDF]
, 1998 The effects of age-induced changes on face recognition were investigated as a means of exploring the role of age in the encoding of new facial memories. The ability of participants to recognise each of six previously learnt faces was tested with versions
George, Patricia A, Hole, Graham J
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Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Information, 2014 Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
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Artificial Neural Network Based Ensemble Approach for Multicultural Facial Expressions Analysis
IEEE Access, 2020 Facial expressions convey exhaustive information about human emotions and the most interactive way of social collaborations, despite differences in ethnicity, culture, and geography. Due to cultural differences, the variations in facial structure, facial
Ghulam Ali +7 more
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Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source