Academic literature on the topic 'Expressão facial'
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Journal articles on the topic "Expressão facial"
Sousa, Cristina. "Emoções e expressão facial: Novos desafios." PSICOLOGIA 24, no. 2 (January 6, 2014): 17. http://dx.doi.org/10.17575/rpsicol.v24i2.303.
Full textPimenta, Eduardo Cortesão. "RECUPERAR A EXPRESSÃO FACIAL APÓS PARÉSIA FACIAL CENTRAL." Revista Ibero-Americana de Saúde e Envelhecimento 5, no. 1 (October 4, 2019): 1691. http://dx.doi.org/10.24902/r.riase.2019.5(1).1691.
Full textAlmeida, Lina Isabel Marques de, and Paula Cristina Grade Correia. "Expressões faciais emocionais em indivíduos laringectomizados totais." Revista CEFAC 16, no. 1 (March 2014): 260–73. http://dx.doi.org/10.1590/1982-0216201421912.
Full textSantos, Carla Cristina Gonçalves dos, and Maria Julia Pereira Coelho Ferraz. "Atuação da fonoaudiologia na estética facial: relato de caso clínico." Revista CEFAC 13, no. 4 (May 21, 2010): 763–68. http://dx.doi.org/10.1590/s1516-18462010005000043.
Full textFernandes, Ana Mércia, Daniel Ciampi de Andrade, Luiz Carlos Serramo Lopez, Luiz de Gonzaga Gawryszewski, and Nelson Torro. "Como mulheres avaliam expressões faciais de alegria e dor?" Revista Psicologia em Pesquisa 14, no. 4 (October 24, 2020): 154–69. http://dx.doi.org/10.34019/1982-1247.2020.v14.30256.
Full textOliveira, Sonia Cristina Coelho de, and Carla Patrícia Hernandez Alves Ribeiro César. "EXPRESSÃO FACIAL EMOCIONAL E O PROCESSO “CASA PIA”." Psicologia em Estudo 22, no. 4 (December 19, 2017): 655–56. http://dx.doi.org/10.4025/psicolestud.v22i4.37740.
Full textSerra, André Victor Pinto, Carlos Vinícius Ayres Moreira, Roberto Almeida De Azevedo, Nilmara Dias Santos, and Larissa Oliveira Ramos Silva. "SINDROME DE MOEBIUS EM PACIENTE COM FISSURA LABIOPALATINA: RELATO DE CASO." Journal of Dentistry & Public Health 8, no. 4 (December 18, 2017): 125–31. http://dx.doi.org/10.17267/2596-3368dentistry.v8i4.1562.
Full textSerra, André Victor Pinto, Carlos Vinícius Ayres Moreira, Roberto Almeida De Azevedo, Nilmara Dias Santos, and Larissa Oliveira Ramos Silva. "SINDROME DE MOEBIUS EM PACIENTE COM FISSURA LABIOPALATINA: RELATO DE CASO." Revista Bahiana de Odontologia 8, no. 4 (December 18, 2017): 125. http://dx.doi.org/10.17267/2238-2720revbahianaodonto.v8i4.1562.
Full textPuggina, Ana Claudia Giesbrecht, and Maria Julia Paes da Silva. "Pacientes com desordem de consciência: respostas vitais, faciais e musculares frente música ou mensagem." Revista Brasileira de Enfermagem 68, no. 1 (February 2015): 102–10. http://dx.doi.org/10.1590/0034-7167.2015680114p.
Full textBergamasco, Niélsy Helena Puglia. "Expressão Facial Como Acesso À Consciência do Recém-Nascido." Psicologia USP 8, no. 2 (1997): 275–86. http://dx.doi.org/10.1590/s0103-65641997000200013.
Full textDissertations / Theses on the topic "Expressão facial"
Ribeiro, João Paulo Alves. "Expressão facial da emoção: Fatores preditores da agressividade na expressão facial." Bachelor's thesis, [s.n.], 2014. http://hdl.handle.net/10284/4257.
Full textO estudo da expressão facial da emoção em Portugal destaca-se, e destaca, em particular, o trabalho científico produzido pelo Professor Doutor Freitas-Magalhães. Contudo, a literatura e a evidência empírica produzida é ainda, parca e diminuta. O objetivo do presente projeto de graduação é, não só, acompanhar a tendência científica de investigação da aplicação da análise da emoção através da expressão facial a diferentes áreas do saber, como também, aprofundar e difundir esta área. Assim, partindo das características usualmente associadas à agressividade, pretende-se estabelecer um paralelismo e, possível correlação, de determinados marcadores na expressão facial que atuem como preditores da agressividade. Para o efeito, foram analisadas imagens em vídeo e fotografias de determinados indivíduos quando em situações de confronto com terceiros (e.g. vítimas, juízes, policias).
The study on facial expression of emotion in Portugal stands out and highlights in particular the scientific work produced by Professor Freitas-Magalhães. However, literature and produced empirical evidence is still scant and small. The objective of this graduation project is not only to follow the trend of scientific research of the application of the analysis of emotion through facial to different areas of knowledge, but also deepen and spread this area expression. Thus, based on the characteristics usually associated with aggressiveness, we intend to establish a parallel and possible correlation of certain markers in facial expression acting as predictors of aggression. To this end, we analyzed video footage and photographs of certain individuals when in a confrontational situation with third parties (eg victims, judges, police).
Testa, Rafael Luiz. "Síntese de expressões faciais em fotografias para representação de emoções." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-31012019-165605/.
Full textThe ability to process and identify facial emotions are essential factors for an individual\'s social interaction. Some psychiatric disorders can limit an individual\'s ability to recognize emotions in facial expressions. This problem could be confronted by using computational techniques in order to develop learning environments for diagnosis, evaluation, and training in identifying facial emotions. With this motivation, the objective of this work is to define, implement and evaluate a method to synthesize realistic facial expression that represents emotions in images of real people. The main idea of the studies found in the literature is that a facial expression of one persons image can be reenacted in an another persons image. The study differs from the approaches presented in the literature when proposing a technique that considers the similarity between facial images to choose the one that will be used as the origin for reenactment. As a result, we intend to increase the realism of the synthesized images. Our approach to solve the problem, besides searching for the most similar facial components in the image dataset, also deforms the facial elements and maps the differences of illumination in the target image. A visual analysis showed that the images synthesized on the basis of similar faces presented an adequate degree of realism, especially when compared with images synthesized from random faces. The study will contribute to the generation of the images applied to tools for the diagnosis and therapy of psychiatric disorders, and also contribute to the computational field, through the proposition of new techniques for facial expression synthesis
Correa, Renata. "Animação facial por computador baseada em modelagem biomecanica." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259447.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: A crescente busca pelo realismo em personagens virtuais encontrados em diversas aplicações na indústria do cinema, no ensino, jogos, entre outras, é a motivação do presente trabalho. O trabalho descreve um modelo de animação que emprega a estratégia biomecânica para o desenvolvimento de um protótipo computacional, chamado SABiom. A técnica utilizada baseia-se na simulação de características físicas da face humana, tais como as camadas de pele e músculos, que são modeladas de forma a permitir a simulação do comportamento mecânico do tecido facial sob a ação de forças musculares. Embora existam vários movimentos produzidos por uma face, o presente trabalho restringiu-se às simulações dos movimentos de expressões faciais focalizando os lábios. Para validar os resultados obtidos com o SABiom, comparou-se as imagens do modelo virtual obtidas através do protótipo desenvolvido com imagens obtidas de um modelo humano
Abstract: The increasing search for realism in virtual characters found in' many applications as movies, education, games, so on, is the motivation ofthis thesis. The thesis describes an animation model that employs the biomechanics strategy for the development of a computing prototype, called SABiom. The method used is based on simulation of physical features of the human face, such as layers of the skin and musc1es, that are modeled for simulation of the mechanical behavior of the facial tissue under the action of muscle forces. Although there are several movements produced by a face, the current work limits itself to the simulations of the facial expressions focusing the lips. To validate the results obtained from SABiom, we compared the images of the virtual model with images from a human model
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
Correia, Ana Sofia Guimarães. "A competência no reconhecimento da expressão facial da emoção: estudo empírico com crianças e jovens com Perturbação do Espetro do Autismo." Doctoral thesis, [s.n.], 2014. http://hdl.handle.net/10284/4467.
Full textO reconhecimento emocional através da expressão facial constitui uma importante competência social que potencia o indivíduo a responder de forma adequada ao meio, sendo um dispositivo de comunicação no relacionamento com o mundo e com os outros. Os indivíduos com Perturbação do Espetro do Autismo (PEA) revelam défices a este nível, evidenciando dificuldades na cognição social com implicações negativas no funcionamento interpessoal e social. Nas últimas décadas, o recurso mais utilizado para avaliar objetivamente o reconhecimento de expressões faciais da emoção, tem sido a fotografia. Contudo, o progresso da tecnologia tem permitido a utilização de imagens criadas em laboratório na investigação e promoção desta competência. No sentido de percebermos a vantagem da utilização de imagens tridimensionais na avaliação e no desenvolvimento de programas específicos de promoção de competências relacionadas com o reconhecimento da expressão facial da emoção junto da população com PEA, desenvolveu-se o presente estudo. O principal objetivo deste trabalho consiste em comparar a eficácia do reconhecimento de emoções através de expressões faciais laboratoriais e expressões faciais reais. Participaram no estudo 38 crianças e jovens com Síndrome de Asperger (SA) e Autismo de Elevado Funcionamento (AEF), aos quais foram aplicadas três tarefas com imagens e vídeos fornecidos pelo Laboratório de Expressão Facial da Emoção (FEELab), para avaliação do reconhecimento emocional, e as Provas de Avaliação da Linguagem e da Afasia em Português (PALPA-P), para avaliação das competências linguísticas. Os resultados sugerem que os indivíduos são mais eficazes no reconhecimento de estímulos tridimensionais e dinâmicos e de expressões faciais femininas. As emoções mais facilmente identificadas são a cólera e a surpresa. Verifica-se uma correlação positiva entre o reconhecimento emocional e a idade e a capacidade linguística dos participantes. A acrescentar que, variáveis como o diagnóstico clínico e a escolaridade interferem no reconhecimento de emoções. Os dados obtidos poderão ser úteis na preparação de métodos terapêuticos adequados à população com PEA. Programas de intervenção desenvolvidos com recurso ao computador e às novas tecnologias poderão constituir uma mais-valia na promoção de competências ao nível do reconhecimento da expressão facial da emoção nestes indivíduos, proporcionando a execução de tarefas mais aproximadas à experiência real.
Emotional recognition of facial expression constitutes an important social skill that potentiates the individual to respond appropriately to the surrounding space, being a communication device in the relationship with the world and with others. Individuals with Autism Spectrum Disorder (ASD) show deficits at this level, evidencing difficulties in social cognition with negative implications for interpersonal and social functioning. In recent decades, the most common objective measurement to evaluate recognition of facial expressions of emotion has been the photograph. However, emergent technology has allowed the use of images created in laboratory settings that can be utilized in research and promotion of this competence. A study was designed to explore potential advantages of using three-dimensional imaging in the evaluation and development of programs to promote facial expression recognition skills in ASD populations. The main objective of this work is to compare the efficacy of recognizing emotions through laboratorial facial expressions and real facial expressions. In the study 38 children and young people with Asperger Syndrome (AS) and High Functioning Autism (AEF) participated. These subjects were given three tasks with images and videos provided by the Facial Emotion Expression Lab (FEELab) to evaluate emotional recognition, Evaluation Tests of Language and Aphasia in Portuguese (PALPA-P), and to evaluate language skills. The results suggest that individuals are more effective at recognizing three-dimensional and dynamic stimuli and female facial expressions. Anger and surprise were the most easily identified emotions. A positive correlation existed between emotional recognition, age, and the participants’ language skills. Additionally, variables such as clinical diagnosis and scholarity interfere in the recognition of emotions. Obtained data may be useful in the preparation of therapeutic methods appropriate for population with ASD. Intervention programs developed using the computer and new technologies may be an advantage in promoting skills in the recognition of facial expression of emotion in these individuals, providing the execution of tasks as close to the real experience.
La reconnaissance émotionnelle par le biais de l’expression faciale est une compétence sociale importante qui permet à l’individu de répondre de forme approprié à un environnement, étant un dispositif de communication dans la relation avec le monde et avec les autres. Les individus atteints de troubles du spectre autistique (TSA) montrent des difficultés à ce niveau, ils mettent en évidence des problèmes de cognition sociale qui ont des conséquences négatives pour le fonctionnement interpersonnel et social. Au cours des dernières décennies, le moyen le plus utilisé pour évaluer objectivement la reconnaissance des expressions faciales de l’émotion a été la photographie. Cependant, les progrès technologiques ont permis l’utilisation d’images créées en laboratoire pour l’étude et la promotion de cette compétence. Cette étude a été développée avec l’objectif de comprendre les avantages de l'utilisation des images tridimensionnelles durant l’évaluation et le développement de programmes spécifiques de promotion de compétences liées avec la reconnaissance de l’expression faciale de l’émotion auprès de la population atteinte de TSA. L'objectif principal de ce travail est de comparer l'efficacité de la reconnaissance des émotions à travers les expressions faciale du laboratoire et les expressions faciales réels. 38 enfants et jeunes (adolescents) atteint du syndrome d'Asperger (AS) et d’Autisme de Haut Niveau de fonctionnement (AHN) ont participé à l’étude. Ils ont été soumis à trois tests avec des images et des vidéos fournies par le Laboratoire de l’Expressions Faciale de l’Emotion (FEELab), pour l’évaluation de la reconnaissance émotionnelle, et aux examens d’évaluation linguistique et de l'aphasie en portugais (PALPA-P), pour l’évaluation des compétences linguistiques. Les résultats suggèrent que les individus sont plus efficaces dans la reconnaissance des stimuli tridimensionnels et dynamiques et des expressions faciales féminines. Les émotions les plus facilement identifiables sont la colère et la surprise. Il existe une corrélation positive entre la reconnaissance émotionnelle et l’âge et la capacité linguistique des participants. De plus, des variables comme le diagnostic clinique et la scolarité interviennent dans la reconnaissance des émotions. Les données obtenues pourront être utiles pour la préparation des méthodes thérapeutiques adéquates à la population atteint de TSA. Les programmes d’interventions développés utilisant l’ordinateur et les nouvelles technologies pourront constituer une plus-value pour la promotion de compétences au niveau de la reconnaissance de l’expression facial de l’émotion pour ces individus, visant l’application de tâches plus proches de l’expérience réelles.
Kusano, Maria Elisa. "Assimetrias nos reconhecimentos de expressões faciais entre hemicampos visuais de homens e mulheres." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/59/59134/tde-15062015-210503/.
Full textRecognizing different emotional facial expressions is worth for interpersonal relationship, although there is not a consensus how this recognition process really occurs. Studies suggest differences during the processing of facial expressions related with emotional valence, functional asymmetry between both brain hemisphere and observer\'s characteristics (manual dexterity, gender and diseases) and by the stimulus exposure time. By the divided visual field method associated with two-interval forced choice we investigated the performance of recognizing sad and happy faces in the left and the right visual hemifield of 24 participants (13 women, 11 men), all adults, right-handed and with normal or higher visual acuity. They were all submitted to experimental sessions where pair of faces were successively presented for 100ms in one of the visual hemifield, right or left, being one neutral and other emotive (happy or sad), in random order presentation . Each pair of faces were only masculine or feminine, of a single person, and the emotional faces could have emotional intensity chosen randomly between 11 intensity levels obtained by computer graphic morphing technique. The participant task was to choose in each pair of face sequence in the visual hemifield which one was the most emotive. The hit rate to each level of emotional intensity of each face allowed to estimate the parameters of psychometric curves adjusted to cumulative normal distribution for each visual hemifields. The statistic analysis of the parameters of the psychometric curves allowed pointed out e that the hit rates for the happy faces were higher than for the sad ones. Also, while women showed symmetric performance in recognizing happy and sad faces between the visual hemifields, men showed asymmetric performance, with superiority of recognizing the male face in the left visual field and of recognizing the female face in the right visual field. There were evidences that recognizing emotional faces are somewhat different, considering interaction between the gender of the participants and the gender of the stimulus face, emotional valences and brain hemisphere. This research partially supports the Right Hemisphere Theory and suggest experimental design influence the sex differences performance.
Stefani, Fabiane Miron. "Estudo eletromiográfico do padrão de contração muscular da face de adultos." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/5/5160/tde-19112008-162050/.
Full textSpeech Therapy has been considered subjective during many years due to its manual and visual methods. Many researchers have been searching for more objective methodology of evaluation, based on electronics devises. One of them is the EMG- Surface Electromyography, which is the electric unit measure of a muscle. Literature presents many works in TMJ and Orthodontics areas, special attention to the chewing muscles- temporal and masseter- for been bigger muscles, presenting more evident results in EMG. Less attention is paid for mimic muscles. The objective of our work is to identify, by means of EMG, the electrical activity of facial muscles of healthy adults during facial movements normally used in speech therapy clinic, to identify the role of each muscle during movements and to differentiate the electrical activity of these muscles during this movements. 31 volunteers have been evaluated (18 women) with mean age of 29,84 years, no speech therapy or odontological complains. Bipolar surface electrodes have been adhered to masseter, buccinator and suprahyoid muscles bilaterally and to superior and inferior orbicular oris muscles. Electrodes were connected to a EMG 1000 from Lynx Tecnologia Eletrônica of 8 channels, and it was asked each participant to carry out the following movements: Labial Protrusion (PL), Lingual Protrusion (L), Cheek Inflating (CI), Opened Smile (OS), Closed Smile (CS), Labial Lateralization (LL) and pressure of one lip against the other (LP). EMG data was registered in microvolts (RMS) and the movement media was considered for data analyses, which were normalized using as bases the rest EMG and results show that orbicular oris are more electric activity than other muscles in PL, CI, OS, LL and LP. In LL movements, orbicularis oris also showed greater activity, but buccinator muscles showed effective participation in movement, especially in right LL. L didnt show any differences between evaluated muscles. Buccinator was the most active muscle during CS. We concluded that Orbicularis Ores were the most active muscles during the tasks, exception made to L and CS. In L no muscle was significantly higher and in CS Buccinators were the most active. Opened Smile is the movement where the muscles are more activated in a role. This results shows that EMG is of great use for mimic muscles evaluation, but should be used carefully in specific tongue assessment
Nascimento, Iza Neves de Araújo. "Elaboração e Validação de um Banco de Expressões Faciais de Bebês." Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/8664.
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Facial expressions are an important way of non-verbal communication present in interpersonal relations. Many studies has sought to understand the emotional, cognitive and social developments through the analysis of the expression and perception of facial expressions. Nevertheless, there are still few studies regarding this matter in the first childhood. The objective of this study was to prepare and validate a facial expression database of babies ranging from 4 to 24 months. This is a descriptive, exploratory and transversal study with a quantitative methodological approach and it was divided in three stages. In the first, we captured photographs of the facial expression of 30 babies to the respective emotions: happiness, sadness, disgust, pain and neutral face. In the second stage, from a collection of 240 pictures, four referees selected 80 images of 16 babies (eight boys and eight girls) to be evaluated in the next phase of the study. The third stage involved the validation of the facial expressions by 150 puerperal women, divived in two groups: 75 primiparous and 75 multiparous with a mean age of 25.6 years (SD = 5.67). They had an eutocic parturition in a public hospital and were hemodynamically stable. In this task, the subjects should identify the facial emotion of each image of the babies in accordance with the previous stated categories (happiness, sadness, disgust, pain and neutral face). The data analysis didn’t showed any significant differences between the primiparous and multiparous mothers in the recognition of facial expressions. Our data showed that the happiness and neutral face facial expressions were better recognized with a respective recognition mean of 85.3% (SD = 1.2) and 87% (SD = 1.5).Sadness was the less recognized emotion with mean of 51.1% (SD = 1.4). There were no significant statistical interaction between the sex of the model and parity. However, there was a significant statistical interation between the facial expressions and sex, showing that the facial expressions of pain and neutral face were better recognized than the rest for the masculine models when compared to the feminine (p<0.001) and, the disgust facial expression of the feminine models had a recognition mean larger than the masculine models (p<0.001). The relation between the recognition of facial expressions and maternal age showed that, as age progresses, the recognition of multiparous mothers increase for disgust and the recognition of primiparous mothers increase for pain. In the process of validation, three models of the facial expressions database were excluded due to reduced indices (<40%) to the recognition of at least one emotion. Thus, our babies facial expression database included 65 pictures of 13 models: 6 feminine and 7 masculine, with high indices of recognition in the facial expression task.
As expressões faciais são uma forma de comunicação não verbal importante nas relações interpessoais. Muitos estudos têm buscado compreender o desenvolvimento emocional, cognitivo e social por meio da análise da expressão e percepção de emoções faciais. Apesar disso, ainda existem poucos trabalhos realizados com a temática na primeira infância. O objetivo deste estudo foi elaborar e validar um banco de expressão facial de bebês na faixa etária de 4 a 24 meses. Esta pesquisa caracteriza-se como um estudo metodológico, descritivo, exploratório, transversal com abordagem quantitativa. Metodologicamente, foi dividida em três etapas. Na primeira etapa, foi realizada a captura fotográfica das imagens faciais de 30 bebês para as expressões correspondentes as emoções de alegria, tristeza, nojo e dor e face neutra. Na segunda etapa, a partir de um conjunto de 240 fotografias, foram selecionadas por quatro juízas 80 imagens de 16 bebês (oito meninas e oito meninas) para serem avaliadas na fase seguinte do estudo. A terceira etapa envolveu a validação das expressões faciais por 150 puérperas, divididas em dois grupos: 75 primíparas e 75 multíparas com média de idade de 25,6 anos (DP = 5,67), que realizaram parto eutócico (normal), hemodinamicamente estáveis e admitidas em uma maternidade pública. Nessa tarefa, as participantes deveriam identificar a emoção facial de cada imagem dos bebês de acordo com as cinco categoriais estabelecida (alegria, tristeza, nojo e dor, neutra). A análise dos dados não mostrou diferenças significativas entre as primíparas e multíparas no reconhecimento das expressões faciais. De maneira geral, as expressões de alegria e neutra apresentaram melhores índices de reconhecimento com valores médios de 85,3 % (DP= 1,2) e 87,0 % (DP=1,5), respectivamente. A emoção de tristeza foi a menos reconhecida com média de 51,1 % (DP=1,4). Não se verificou interação estatisticamente significativa entre o sexo do modelo e paridade. No entanto, foi encontrada uma interação entre a expressão facial e o sexo indicando que as expressões de dor e neutra foram mais bem reconhecidas que as demais emoções para os modelos masculinos quando comparados aos femininos (p < 0,001) e a expressão de nojo nos modelos femininos teve uma média de reconhecimento maior do que nos masculinos (p < 0,001). A relação entre o reconhecimento das expressões faciais e idade materna evidenciou que, quanto maior a idade, maior o reconhecimento das multíparas para faces de nojo e das primíparas para a emoção de dor. No processo de validação, foram excluídos três modelos do banco de expressões faciais que apresentaram índices reduzidos (< 40%) para o reconhecimento de pelo menos uma das emoções. Dessa forma, o banco de faces resultante do estudo incluiu 65 imagens de 13 modelos, 6 femininos e 7 masculinos, com bons índices de reconhecimento na tarefa de identificação das expressões faciais.
Gil, Maria Luísa Esperança Carreiras Marques. "Expressões faciais de dor." Master's thesis, Universidade de Évora, 2012. http://hdl.handle.net/10174/15262.
Full textPimenta, Eduardo Luís Cortesão. "Recuperar a expressão facial após parésia facial central: implicações na prática de enfermagem de reabilitação." Master's thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/23220.
Full textCampos, Ana Catarina Gonçalves. "A Fisionomia do Heavy Metal: a expressão facial da emoção em contexto de concerto." Doctoral thesis, [s.n.], 2015. http://hdl.handle.net/10284/5100.
Full textA música tem atualmente uma importância crescente na vida social devido à sua constante presença e uso diário: quer na aprendizagem, quer para usufruto médico. As vantagens de aprendizagem musical são inúmeras, salientando-se a contribuição para uma melhor socialização e as alterações a nível cerebral que, sendo proactivas, promovem a plasticidade do cérebro e consequente desenvolvimento pessoal. A emoção e respetiva expressão facial são o veículo da socialização, quer pelo reconhecimento das emoções nos outros, ou mesmo pela produção de expressões faciais que permitem a perceção dos outros relativamente a nós. O cérebro é o motor de aprendizagem das emoções e a face o palco da sua visualização. O heavy metal enquanto género musical sempre foi amplamente criticado por governos e pela própria media, sendo-lhe atribuído o cometimento de atos delinquentes por parte do seu público. É sugerido por alguns estudos que este estilo musical, devido ao ritmo que lhe é conhecido e pelo conteúdo das letras das músicas, influencia negativamente o comportamento humano. Estes estudos baseiam-se sobretudo no público, olvidando as bandas que são o núcleo deste estilo. Assim, foi elaborado um estudo qualitativo que contempla a expressão facial da emoção e o heavy metal, onde foi igualmente introduzido outro estilo musical, o rock, com o intuito de estabelecer um termo comparativo. Este estudo baseou-se na análise da expressão facial dos vocalistas de 3 (três) bandas de heavy metal e 1 (um) de rock, procurando a expressão facial da emoção cólera, medindo a sua intensidade e frequência. Os resultados obtidos demonstram maior incidência de traços da citada emoção na Upper Face, nos 4 (quatro) vocalistas analisados, revelando que o heavy metal incorpora traços de cólera, mas que também no rock isso é verificável. Posto isto, o presente estudo é um contributo para a deteção da cólera e prevenção de comportamentos associados, e em decorrência da literatura para a verificação da influência do público que a perceciona.
Music has grown importance in social life due to its constant presence and daily use: whether it concerns learning, whether for medical reasons. The advantages of learning music are countless, underlining its contribution for a better socialization and brain changes which, when positive, promotes brain plasticity and consequent personal development. Emotion and facial expression are the vehicle of socialization, whether for emotion recognition on others, or even for facial expression production which allows others to perceive us correctly. The brain is the learning motor of emotions and the face is the stage of them. As a musical genre, heavy metal has always been extremely criticized by governments and even by the media, imputing it the perpetration of delinquent acts by its fans. Some studies show that this music style influences negatively human behavior due to its accelerate rhythm and its lyrics. Although, this studies are based on public, forgetting the core of this style: the bands. Hereupon, a qualitative study was carried on addressed to heavy metal and facial expression of emotion, also involving a rock band (a different music genre) in order to stablish a comparison. This study was based on the analysis of the facial expression of the 3 (three) lead singers of heavy metal bands and one lead singer of a rock band, to look up for the emotion anger, measuring its intensity and frequency. The results obtained showed that there is more incidence of anger traces on the Upper Face on the four analyzed lead singers, presenting that heavy metal and rock are both styles bearing anger traces. Therefore, the present study is a contribution of anger detection and its associated behavior’s prevention and as result from literature review for verification of the influence to people who perceive them.
La Musique a actuellement une grande importance sur la vie sociale en raison de leur présence constante et l'utilisation quotidienne: qui se soit dans l'apprentissage ou dans les utilisations médicales. Les avantages de l'apprentissage musicale sont plusieurs, de révéler la contribution pour une meilleure socialisation et changements au niveau cérébral, qui sont proactives, et qui promouvoir la plasticité du cerveau et le développement personnelle. L'émotion et la respective expression de la face sont le véhicule de la socialisation, et par la reconnaissance des émotions des autres, ou même pour la production des expressions faciales qui permettent la perception des autres vers nous. Le cerveau c´est le moteur d’apprentissage d'émotions et la face, la scène de ça visualisation. Le heavy metal comme un genre musical à toujours été amplement critiqué par le gouvernement et par le média, caractérisé les actes délictueux de la part de votre public. Il est suggéré par certaines études que ce style de musique, a une rythme et des lettres qui et perçu pour nous comme ayant une influence négative sur le comportement humain. Ces études sont basées principalement en public, soulignant les bandes qui sont le centre de ce genre. Donc, il y a été effectuée une étude qualitative qui comprend l'expression du visage de l'émotion et de heavy metal, qui a été également introduit un autre style musical, le rock, afin d'établir un terme comparative. Cette étude est basée sur l'analyse de l'expression de la face des chanteurs de trois groupes de heavy metal et un de rock, en recherche de la colère sur le visage, mesure l'intensité et la fréquence. Les résultats montrent une incidence plus élevée de cette émotion sur la Upper Face, en 4 (quatre) chanteurs analysés, révélant que le heavy metal et le rock intègre traits de la colère. Comme ça, la présente étude contribue pour vérifier la détection de la colère et aider à prévenir les comportements associés et sur la révision de la littérature pour la vérification de l’influence de la population qui perçoit l’émotion.
Books on the topic "Expressão facial"
Young, A. W. Facial Expression Recognition. London ; New York : Psychology Press, 2016. | Series: World: Psychology Press, 2016. http://dx.doi.org/10.4324/9781315715933.
Full textDarris, Dobbs, ed. Animating facial features and expression. Rockland, Mass: Charles River Media, 1999.
Find full textIkeda, Susumu. Hito no kao matawa hyōjō no shikibetsu ni tsuite: Shoki no jikkenteki kenkyū o chūshin to shita shiteki tenbō. Suita-shi: Kansai Daigaku Shuppanbu, 1987.
Find full textTetsuo, Yamaori. Nihonjin no kao: Zuzō kara bunka o yomu. Tōkyō: Nihon Hōsō Shuppan Kyōkai, 1986.
Find full textInternational, Symposium on the Facial Nerve (8th 1997 Ehime-ken Japan). New horizons in facial nerve research and facial expression. The Hague: Kugler, 1998.
Find full textPeck, Stephen Rogers. Atlas of facial expression: An account of facial expression for artists, actors, and writers. Oxford: Oxf.U.P.(N.Y.), 1990.
Find full textAtlas of facial expression: An account of facial expression for artists, actors, and writers. New York: Oxford University Press, 1987.
Find full textRoberts, Barbara. Face reading: How to know anyone at a glance. Encinitas, CA: Healing and Insight Publishers, 2009.
Find full textUniversität Innsbruck. Institut für Psychologie, ed. Current and future perspectives in facial expression research: Topics and methodological questions : proceedings of the international meeting at the Institute of Psychology, University of Innsbruck, Austria, September 28-29, 2007. [Innsbruck]: Innsbruck University Press, 2009.
Find full textYang, Henning Hai Lee. Mian xiang: The Chinese art of face reading. London: Vega, 2001.
Find full textBook chapters on the topic "Expressão facial"
Naini, Farhad B. "Facial Expression: Influence and Significance." In Facial Aesthetics, 45–53. West Sussex, UK: John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118786567.ch3.
Full textOberwelland, Eileen, Whitney Mattson, Naomi Ekas, and Daniel S. Messinger. "Facial Expression Learning." In Encyclopedia of the Sciences of Learning, 1259–62. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1925.
Full textDe la Torre, Fernando, and Jeffrey F. Cohn. "Facial Expression Analysis." In Visual Analysis of Humans, 377–409. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_19.
Full textTian, Yingli, Takeo Kanade, and Jeffrey F. Cohn. "Facial Expression Recognition." In Handbook of Face Recognition, 487–519. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-932-1_19.
Full textPantic, Maja. "Facial Expression Recognition." In Encyclopedia of Biometrics, 400–406. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-73003-5_98.
Full textFrijda, N. H. "Facial Expression Processing." In Aspects of Face Processing, 319–25. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4420-6_34.
Full textSebe, Nicu, and Michael S. Lew. "Facial Expression Recognition." In Computational Imaging and Vision, 163–97. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0295-9_7.
Full textPantic, Maja. "Facial Expression Recognition." In Encyclopedia of Biometrics, 1–8. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_98-3.
Full textKanade, Takeo. "Facial Expression Analysis." In Lecture Notes in Computer Science, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564386_1.
Full textGong, Shaogang, and Tao Xiang. "Understanding Facial Expression." In Visual Analysis of Behaviour, 69–93. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_4.
Full textConference papers on the topic "Expressão facial"
Souza, Natali Furquim de, André Luiz Battaiola, and Tiago Vinicius de Souza. "Emoção no mangá a partir da expressão facial." In 8º Congresso Internacional de Design da Informação / 8º Congresso Nacional de Iniciação Científica em design da informação. São Paulo: Editora Blucher, 2018. http://dx.doi.org/10.5151/cidi2017-028.
Full textCarlos Uchida, Marco, and Alice Squillante Pereira De Almeida. "A EXPRESSÃO FACIAL E SUAS ALTERAÇÕES DURANTE ESFORÇO MÁXIMO." In XXIII Congresso de Iniciação Científica da Unicamp. Campinas - SP, Brazil: Galoá, 2015. http://dx.doi.org/10.19146/pibic-2015-38143.
Full textBarboza, Paulo Cirillo, Raul F. Santana, George André Pereira Thé, and Guilherme A. Barreto. "Reconhecimento de expressão facial assistido por EMG e aprendizado de máquina." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2021. http://dx.doi.org/10.21528/cbic2021-100.
Full textDiniz, Fábio Abrantes, Francisco Milton Mendes Neto, Francisco das Chagas Lima Júnior, Laysa Mabel de O. Fontes, Thiago de Aguiar Leal Domingues, and Lucas Silva Figueiredo. "Um Sistema de Reconhecimento de Expressões Faciais para Apoiar um Ambiente Virtual de Aprendizagem." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2013. http://dx.doi.org/10.5753/sbsi.2013.5712.
Full textBuzuti, Lucas F., and Carlos E. Thomaz. "Avaliação de Dor em Expressão Facial Neonatal por meio de Redes Neurais Profundas." In Anais Estendidos do Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação (SBC), 2021. http://dx.doi.org/10.5753/sbcas.2021.16099.
Full textDe Cassia Ietto Montilha, Rita, and Karina Gombrade Teles. "ADOLESCENTES E ADULTOS COM DEFICIÊNCIA VISUAL E A PERCEPÇÃO SOBRE A SUA EXPRESSÃO FACIAL." In XXIII Congresso de Iniciação Científica da Unicamp. Campinas - SP, Brazil: Galoá, 2015. http://dx.doi.org/10.19146/pibic-2015-37460.
Full textGomes, Jeanderson de Sousa, and Flavio H. D. Araujo. "Análise de técnicas de pré-processamento de imagem para reconhecimento facial baseada em VGG Faces e Ball tree." In Encontro Unificado de Computação do Piauí. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/enucompi.2021.17764.
Full textBessa, Vicente Alberto Lima. "PREENCHIMENTO À BASE DE ÁCIDO POLI-L-LÁCTICO PARA REJUVENESCIMENTO FACIAL." In Congresso Online Brasileiro de Medicina. CONGRESSE ME, 2021. http://dx.doi.org/10.54265/caob6612.
Full textPark, Sungsoo, Jongju Shin, and Daijin Kim. "Facial expression analysis with facial expression deformation." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761398.
Full textMal, Hari Prasad, and P. Swarnalatha. "Facial expression detection using facial expression model." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389644.
Full textReports on the topic "Expressão facial"
Norelli, John L., Moshe Flaishman, Herb Aldwinckle, and David Gidoni. Regulated expression of site-specific DNA recombination for precision genetic engineering of apple. United States Department of Agriculture, March 2005. http://dx.doi.org/10.32747/2005.7587214.bard.
Full textKulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, September 2021. http://dx.doi.org/10.31979/mti.2021.2015.
Full textCzosnek, Henryk Hanokh, Dani Zamir, Robert L. Gilbertson, and Lucas J. William. Resistance to Tomato Yellow Leaf Curl Virus by Combining Expression of a Natural Tolerance Gene and a Dysfunctional Movement Protein in a Single Cultivar. United States Department of Agriculture, June 2000. http://dx.doi.org/10.32747/2000.7573079.bard.
Full textIffat, Idris. Trends in Conflict and Stability in the Indo-Pacific. Institute of Development Studies (IDS), February 2021. http://dx.doi.org/10.19088/k4d.2021.009.
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