Results 61 to 70 of about 523,915 (284)
Discrete Neural Correlates for the Recognition of Negative Emotions: Insights from Frontotemporal Dementia. [PDF]
PLoS ONE, 2013 Patients with frontotemporal dementia have pervasive changes in emotion recognition and social cognition, yet the neural changes underlying these emotion processing deficits remain unclear.
Fiona Kumfor +3 more
doaj +1 more source
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers
, 2017 Group emotion recognition in the wild is a challenging problem, due to the unstructured environments in which everyday life pictures are taken. Some of the obstacles for an effective classification are occlusions, variable lighting conditions, and image ...
Cangelosi, Angelo +4 more
core +1 more source
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
, 2020 Electroencephalography (EEG) measures the neuronal activities in different brain regions via electrodes. Many existing studies on EEG-based emotion recognition do not fully exploit the topology of EEG channels.
Miao, Chunyan, Wang, Di, Zhong, Peixiang
core +1 more source
Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek +13 more
wiley +1 more source
Frontiers in Psychology, 2020 Recent models of emotion recognition suggest that when people perceive an emotional expression, they partially activate the respective emotion in themselves, providing a basis for the recognition of that emotion.
Paddy Ross, Anthony P. Atkinson
doaj +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: In today's world, the face uses expressions to convey tons of knowledge visually, hence Emotion-Recognition System can be a important focus within the space of computer-user contact. Our emotions area unit is conveyed through the stimulation of unique sets of facial muscles.
Aditi Anand +3 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Aging and Cancer, EarlyView.ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
Brain Sciences, 2023 Emotion recognition is crucial in understanding human affective states with various applications. Electroencephalography (EEG)—a non-invasive neuroimaging technique that captures brain activity—has gained attention in emotion recognition.
Chenguang Gao +2 more
doaj +1 more source