Deep Evolution for Facial Emotion Recognition
CoRR, 2020 Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of interpretability. We propose a novel method based on evolutionary algorithms, that deals with both challenges by massively reducing the number of trainable parameters, whilst simultaneously retaining ...
Emmanuel Dufourq, Bruce A. Bassett
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Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Hypomimia May Influence the Facial Emotion Recognition Ability in Patients with Parkinson’s Disease
Journal of Parkinson’s Disease, 2022 Background: Hypomimia is a clinical feature of Parkinson’s disease (PD). Based on the embodied simulation theory, the impairment of facial mimicry may worsen facial emotion recognition; however, the empirical results are inconclusive. Objective: We aimed
Yu-Han Chuang +6 more
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ANALYSIS OF EMOTION RECOGNITION BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK MODELS
Современная наука и инновации, 2023 Interest in facial emotion recognition is increasing and new algorithms and methods are being introduced. Recent advances in supervised and unsupervised machine learning have led to breakthroughs in research, and more and more accurate systems are ...
V. M. Goryaev +5 more
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Emotion recognition and intellectual disability : development of the kinetic emotion recognition assessment and evaluation of the emotion specificity hypothesis : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Clinical Psychology at Massey University, Albany, New Zealand [PDF]
, 2017 Deficits in social adaptive functioning are a defining criterion of intellectual disability (ID) (American Psychiatric Association, 2013), and a key predictor of social inclusion and subsequent quality of life (Kozma, Mansell, & Beadle-Brown, 2009 ...
Godinovich, Zara Angela
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Emotion recognition using facial expressions
Procedia Computer Science, 2017 Abstract In the article there are presented the results of recognition of seven emotional states (neutral, joy, sadness, surprise, anger, fear, disgust) based on facial expressions. Coefficients describing elements of facial expressions, registered for six subjects, were used as features.
Pawel Tarnowski +3 more
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A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives SLC4A4 encodes electrogenic sodium bicarbonate cotransporter NBCe1, prominently expressed in kidney and brain. Recessive loss‐of‐function variants in SLC4A4 cause proximal renal tubular acidosis, no brain edema. In the brain, NBCe1 is expressed by astrocytes, where it regulates pH and mediates astrocyte volume changes.
Quinty Bisseling +16 more
wiley +1 more source
Impaired Perception of Emotional Expression in Amyotrophic Lateral Sclerosis [PDF]
, 2016 Background and Purpose The increasing recognition that deficits in social emotions occur in amyotrophic lateral sclerosis (ALS) is helping to explain the spectrum of neuropsychological dysfunctions, thus supporting the view of ALS as a multisystem ...
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Facial Emotion Recognition with AI
The paper presents a work with AI on using computer vision algorithms to detect human emotions in the context of the video when the user looks at different video images. This work aims to present the development of software that detects emotions by recognizing users’ facial expressions using AI algorithms and image process pipelines.
Jesús A. Ballesteros +4 more
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Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source