Results 71 to 80 of about 545,162 (339)
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
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
Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models [PDF]
Automatic emotion recognition from speech has been recently focused on the prediction of time-continuous dimensions (e.g., arousal and valence) of spontaneous and realistic expressions of emotion, as found in real-life interactions.
Martinelli, E +4 more
core +3 more sources
Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig +13 more
wiley +1 more source
Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez +14 more
wiley +1 more source
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
Group-level Emotion Recognition using Transfer Learning from Face Identification
In this paper, we describe our algorithmic approach, which was used for submissions in the fifth Emotion Recognition in the Wild (EmotiW 2017) group-level emotion recognition sub-challenge.
Chollet F. +7 more
core +1 more source
ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
wiley +1 more source
Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations [PDF]
Haojie Xu +3 more
openalex +1 more source
Abstract: Facial emotion recognition (FER) has become an important topic in the fields of computer vision and artificial intelligence due to its great academic and commercial potential. Although FER can be performed using multiple sensors, this review focuses on studies using facial images exclusively, since visual expressions areone of the main ...
Vikas Maurya +4 more
openaire +1 more source

