Results 101 to 110 of about 2,513,053 (383)

Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network

open access: yesFrontiers in Neuroscience, 2021
As a physiological process and high-level cognitive behavior, emotion is an important subarea in neuroscience research. Emotion recognition across subjects based on brain signals has attracted much attention. Due to individual differences across subjects
Jingcong Li   +6 more
doaj   +1 more source

Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2021
Multimodal fusion has been proved to improve emotion recognition performance in previous works. However, in real-world applications, we often encounter the problem of missing modality, and which modalities will be missing is uncertain. It makes the fixed
Jinming Zhao, Ruichen Li, Qin Jin
semanticscholar   +1 more source

Cortical Excitability Before and After Long‐Term Perampanel Treatment for Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Antiseizure medications (ASMs), which may influence cortical excitability, are the mainstay of epilepsy treatment. Transcranial magnetic stimulation (TMS) helps evaluate cortical excitability. We assessed changes in TMS responses using serial TMS measurements in people treated with an adjunctive noncompetitive AMPA‐receptor ...
Robert M. Helling   +6 more
wiley   +1 more source

Enhancing Mouth-Based Emotion Recognition Using Transfer Learning

open access: yesSensors, 2020
This work concludes the first study on mouth-based emotion recognition while adopting a transfer learning approach. Transfer learning results are paramount for mouth-based emotion emotion recognition, because few datasets are available, and most of them ...
Valentina Franzoni   +3 more
doaj   +1 more source

Group-level Emotion Recognition using Transfer Learning from Face Identification

open access: yes, 2017
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

Patients' Global Impression of Change (PGIC) Score Compared to Monthly Migraine Days to Evaluate Treatment Persistence With Anti‐CGRP Monoclonal Antibodies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This study assessed whether continued treatment with anti‐CGRP monoclonal antibodies (mAbs) is driven more by reductions in monthly migraine days (MMDs) or patients' global impression of change (PGIC), a patient‐reported outcome. Among 169 patients treated with anti‐CGRP mAbs, 21.3% discontinued due to ineffectiveness. PGIC responders (≥ 5) at
Marina Romozzi   +4 more
wiley   +1 more source

Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder

open access: yesRevista CEFAC, 2019
Purpose: to investigate the use of softwares for emotion recognition in children and teenagers with Autism Spectrum Disorders (ASD). Methods: an integrative review of the literature with scientific papers published from 2012 to 2017 indexed in Periódico
Antonio Marcos Oliveira de Lima   +3 more
doaj   +1 more source

Older Adults’ Emotion Recognition Ability Is Unaffected by Stereotype Threat

open access: yesFrontiers in Psychology, 2021
Eliciting negative stereotypes about ageing commonly results in worse performance on many physical, memory, and cognitive tasks in adults aged over 65.
Lianne Atkinson   +2 more
doaj   +1 more source

EmoTxt: A Toolkit for Emotion Recognition from Text

open access: yes, 2017
We present EmoTxt, a toolkit for emotion recognition from text, trained and tested on a gold standard of about 9K question, answers, and comments from online interactions. We provide empirical evidence of the performance of EmoTxt.
Calefato, Fabio   +2 more
core   +1 more source

Assessment of Emotional Experience and Emotional Recognition in Complicated Grief [PDF]

open access: yesFrontiers in Psychology, 2016
There is substantial evidence of bias in the processing of emotion in people with complicated grief (CG). Previous studies have tended to assess the expression of emotion in CG, but other aspects of emotion (mainly emotion recognition, and the subjective aspects of emotion) have not been addressed, despite their importance for practicing clinicians.
Francisco Cruz-Quintana   +5 more
openaire   +4 more sources

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