Results 61 to 70 of about 51,431 (306)
Facial Expression Recognition [PDF]
, 2011 This chapter introduces recent advances in facial expression analysis and recognition. The first part discusses general structure of AFEA systems. The second part describes the problem space for facial expression analysis. This space includes multiple dimensions: level of description, individual differences in subjects, transitions among expressions ...
Yingli Tian +2 more
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Recognition of peripherally exposed emotional expressions
Экспериментальная психология, 2018 The study investigates the specifics of recognition of emotional facial expressions in peripherally exposed facial expressions, while exposition time was shorter compared to the duration of the latent period of a saccade towards the exposed ...
A.V. Zhegallo
doaj +1 more source
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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Mobile-Optimized Facial Expression Recognition Techniques
IEEE Access, 2021 This paper presents two novel facial expression recognition techniques: the real-time ensemble for facial expression recognition (REFER) and the facial expression recognition network (FERNet).
Nizar El Zarif +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
Facial expression recognition based on anatomy
Computer Vision and Image Understanding, 2014 In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high-polygon wireframe model that embeds all major muscles. Influence regions of facial muscles are estimated through a semi-automatic customization process.
Eskil, M. Taner, Benli, Kristin S.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source
Facial expression recognition based on FECN under artificial intelligence
Discover Artificial IntelligenceVideo data are especially useful for facial recognition because they capture detailed and constantly changing facial features, making it possible to improve recognition accuracy. To recognize facial expressions in video data, this study proposes a facial
Mingwan Luo
doaj +1 more source
Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
wiley +1 more source
Statistical modelling for facial expression dynamics [PDF]
, 2012 PhDOne of the most powerful and fastest means of relaying emotions between humans are facial expressions. The ability to capture, understand and mimic those emotions and their underlying dynamics in the synthetic counterpart is a challenging task ...
Zalewski, Lukasz
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