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    Tytuł:
    Individual differences in visual and auditory processing of emotional material
    Autorzy:
    Zagórska, Anna
    Fajkowska, Małgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/430406.pdf
    Data publikacji:
    2015-06-01
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    temperament
    attention
    emotional facial expression
    emotional prosody
    Opis:
    Presented studies investigated the specificity of visual and auditory modalities in attentional processing of emotion, and its association with temperamental dimensions and trait-like attentional control (AC). During preliminary study 30 participants were presented with the paper-pencil visual search task (Emotional Faces Attentional Test) and emotional prosody detection tasks (Emotional Prosody Test). Results revealed visual happiness superiority and auditory sadness superiority. During the main study, in addition to attentional performance, 51 subjects were administrated two questionnaires: EPQ-R and Attentional Control Scale. Introducing individual differences into analysis limited the general pattern of modality distinctiveness in attentional processing of emotional stimuli obtained in the preliminary study. Findings for all personality traits studied separately showed that Extraversion and low Neuroticism were associated with the visual sadness superiority. Whereas interactional analysis indicated effective visual threat processing in extraverts with good AC and effective friendly prosody detection when Neuroticism and AC remain in inverse relationship. Hence, we have found that processing emotional targets in both modalities is associated with temperament dimensions and their interactions with attentional control. Additionally, findings from both studies suggest that general psychological laws might be challenged by individual differences.
    Źródło:
    Polish Psychological Bulletin; 2015, 46, 2; 174-180
    0079-2993
    Pojawia się w:
    Polish Psychological Bulletin
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Does mindfulness moderate the relationship between self-reported emotional intelligence and facial expression recognition?
    Autorzy:
    Adamik, Mateusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2125587.pdf
    Data publikacji:
    2019-03-01
    Wydawca:
    Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
    Tematy:
    mindfulness
    emotional intelligence
    facial expression recognition
    moderator
    Opis:
    Modern psychology is increasingly interested in phenomena related to the flourishing of a human being, such as mindfulness or emotional intelligence (EI). Mindfulness, according to Kabat-Zinn, is “the awareness that emerges through paying attention on purpose, in the present moment, and nonjudgmentally to the unfolding of experience moment by moment” including the experience of emotions. The most widely studied EI concept was introduced by Salovey and Mayer. They defined it as the ability to monitor emotions and use this information to guide one’s thinking and actions. One of the skills involved in EI is the recognition of emotions based on facial expressions. Interestingly, there is no link between self-reported emotional intelligence, measured by a questionnaire, and the ability to recognize facial expressions measured by a task test. Mindful people are more attuned to their implicit emotions and can reflect this awareness in their explicit self--descriptions. The purpose of this study is to examine the relationships between mindfulness and emotional intelligence, and to examine the moderating role of mindfulness in the relationship between self-reported EI and the ability to recognize facial expressions. The participants were 120 students from different universities of Lublin, Poland, who completed the Mindful Attention Awareness Scale (MAAS) by Brown and Ryan as translated into Polish by Jankowski, the Schutte Self-Report Inventory as adapted into Polish by Jaworowska and Matczak (Kwestionariusz Inteligencji Emocjonalnej; INTE), and the Emotional Intelligence Scale – Faces (Skala Inteligencji Emocjonalnej – Twarze; SIE-T) developed by Matczak, Piekarska, and Studniarek. The results show a positive relationship of emotional intelligence with mindfulness. A positive correlation was also found between mindfulness and the recognition of emotions, which is a component of EI. There was no correlation between mindfulness and the other EI component – using emotional information to guide one’s thinking and actions. As expected, there was no relationship between self-reported EI and the ability to recognize facial expressions, but – contrary to expectations – mindfulness was not a moderator of this relationship.
    Źródło:
    Roczniki Psychologiczne; 2018, 21, 4; 299-307
    1507-7888
    Pojawia się w:
    Roczniki Psychologiczne
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    In Search of a Perfect Form and Style: Turgenev andConrad’s Emphasis on Visual Impression
    Autorzy:
    Pudełko, Brygida
    Powiązania:
    https://bibliotekanauki.pl/articles/635683.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    power of eyes
    sensory and visual impression
    facial expression
    complicity of vision
    Opis:
    The human face as a mask that can both hide and emphasise the main traits of human personality and  thoughts  was  used  by  Turgenev  and  Conrad.  In  the  society  depicted  in  such novels  as Under  Western  Eyes,  Virgin  Soil and  Smoke where  secrecy  and  hypocrisy  are a  universal condition  of  man,  face  reading  becomes  an  essential  factor.  The  references  to eyes as well as words and outside look indicate something about the characters concerned and can be considered as a means attributing a moral significance to physical appearance. As eyes are closely related to communication and knowledge, comments about the characters’ eyes implicate their knowledge and honesty with which they communicate with other people. 
    Źródło:
    Poznańskie Studia Slawistyczne; 2013, 4
    2084-3011
    Pojawia się w:
    Poznańskie Studia Slawistyczne
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Acquisition of databases for facial analysis
    Autorzy:
    Malawski, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/115749.pdf
    Data publikacji:
    2016
    Wydawca:
    Fundacja na Rzecz Młodych Naukowców
    Tematy:
    facial expression recognition
    face recognition
    facial analysis
    database acquisition
    rozpoznawanie mimiki twarzy
    rozpoznawanie twarzy
    analiza twarzy
    nabycie bazy danych
    Opis:
    This article describes guidelines and recommendations for acquisition of databases for facial analysis. New devices and methods for both face recognition and facial expression recognition are constantly developed. In order to evaluate these devices and methods, dedicated datasets are recorded. Acquisition of a database for facial analysis is not an easy task and requires taking into account multiple issues. Based on our experience with recording databases for facial expression recognition, we provide guidelines regarding the acquisition process. Multiple aspects of such process are discussed in this work, namely selection of sensors and data streams, design and structure of the database, technical aspects, acquisition conditions and design of the user interface. Recommendations how to address these aspects are provided and justified. An acquisition software, designed according to these guidelines, is also discussed. The software was used for recording an extended version of our previous facial expression recognition database and proved to both ensure correct data and be convenient for the recorded subjects.
    Źródło:
    Challenges of Modern Technology; 2016, 7, 3; 3-7
    2082-2863
    2353-4419
    Pojawia się w:
    Challenges of Modern Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Comparative Study between CS-LBP/SVM and CS-LBP/PCA in Facial Expression Recognition
    Autorzy:
    Gaur, Sheena
    Powiązania:
    https://bibliotekanauki.pl/articles/1075570.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Center symmetric local binary patterns (CS-LBP)
    Facial Expression Analysis
    Principal Component Analysis 9PCA)
    Support Vector Machine (SVM)
    Opis:
    Face plays significant role in social communication. This is a 'window' to human personality, emotions and thoughts. Due to this, face is a subject of study in many areas of science such as psychology, behavioral science, medicine and computer science etc. In this paper, a comparative study is suggested between CS-LBP/SVM and CS-LBP/PCA. These algorithms are used in emotive facial expression recognition. Finally, a comparison is shown between PCA & SVM in terms of Dimension Reduction. The proposed system uses grayscale frontal face images of a Japanese female to classify six basic emotions namely happiness, sadness, disgust, fear, surprise and anger.
    Źródło:
    World Scientific News; 2019, 121; 83-89
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simultaneous analysis of drivers physiological and behavioural parameters under the aspect of transport safety
    Autorzy:
    Mitas, A. W.
    Bugdol, M.
    Ryguła, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/333174.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    analiza stanów emocjonalnych
    wyraz twarzy
    ocena tętna
    bezpieczeństwo jazdy
    analysis of emotional states
    facial expression
    heart rate estimation
    driving safety
    Opis:
    The article presents an analysis's attempt of the emotional and physiological state of the driver while driving a vehicle. This approach takes into account the correlation of biomedical parameters with the fuzzy classification of facial expression. Based on the results of the experiment, carried out in the real road conditions, driver's emotional states were determined and identified and then combined with the easily measurable indicators of cardiovascular system.
    Źródło:
    Journal of Medical Informatics & Technologies; 2009, 13; 241-247
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Facial expressions animation based on motion trajectories modelling
    Animacja ekspresji twarzy na podstawie modelowania trajektorii ruchu
    Autorzy:
    Kocoń, M.
    Emirsajłow, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/274715.pdf
    Data publikacji:
    2011
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    ekspresje twarzy
    punkty charakterystyczne
    trójwymiarowy model
    animacja twarzy
    interakcja człowiek-maszyna (HMI)
    facial expression
    feature points
    three-dimensional model
    facial animation
    human-machine interactions (HMI)
    Opis:
    This paper describes a way of the face characteristic points trajectory synthesis during emotion changes. The points were selected in according to human face anatomy properties and based on an available system of face movements description. The motion curve was proposed to model changes of emotions on a three-dimensional geometrical model of the human face.
    Niniejszy dokument opisuje sposób syntezy trajektorii punktów charakterystycznych twarzy podczas zmian emocji. Punkty zostały wybrane zgodnie z właściwościami anatomicznymi twarzy człowieka oraz na podstawie systemu FACS opisującego aktywność twarzy. Do modelowania zmian emocjonalnych na trójwymiarowym geometrycznym modelu twarzy człowieka zaproponowano uogólnioną postać krzywej ruchu.
    Źródło:
    Pomiary Automatyka Robotyka; 2011, 15, 11; 56-62
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An intelligent multimodal framework for identifying children with autism spectrum disorder
    Autorzy:
    Chen, Jingying
    Liao, Mengyi
    Wang, Guangshuai
    Chen, Chang
    Powiązania:
    https://bibliotekanauki.pl/articles/331151.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    autism spectrum disorder
    eye fixation
    facial expression
    cognitive level
    improved random forest
    spektrum zaburzeń autystycznych
    wyraz twarzy
    poziom poznawczy
    las losowy
    Opis:
    Early identification can significantly improve the prognosis of children with autism spectrum disorder (ASD). Yet existing identification methods are costly, time consuming, and dependent on the manual judgment of specialists. In this study, we present a multimodal framework that fuses data on a child’s eye fixation, facial expression, and cognitive level to automatically identify children with ASD, to improve the identification efficiency and reduce costs. The proposed methodology uses an optimized random forest (RF) algorithm to improve classification accuracy and then applies a hybrid fusion method based on the data source and time synchronization to ensure the reliability of the classification results. The classification accuracy of the framework was 91%, which is higher than that of the RF, support vector machine, and discriminant analysis methods. The results suggest that data on a child’s eye fixation, facial expression, and cognitive level are useful for identifying children with ASD. Because the proposed framework can separate ASD children from typically developing (TD) children, it can facilitate the early identification of ASD and may improve intervention programs for children with ASD.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 435-448
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Edge artificial intelligence-based facial pain recognition during myocardial infarction
    Autorzy:
    Mohan, H. M.
    Shivaraj Kumara, H. C.
    Mallikarjun, S. H.
    Prasad, A. Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/27314262.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    vital signs
    myocardial infarction
    facial pain expression
    computer vision
    medical assistance
    convolution neural network
    Opis:
    Medical history highlights that myocardial infarction is one of the leading factors of death in human beings. Angina pectoris is a prominent vital sign of myocardial infarction. Medical reports suggest that experiencing chest pain during heart attacks causes changes in facial muscles, resulting in variations in patterns of facial expression. This work intends to develop an automatic facial expression detection to identify the severity of chest pain as a vital sign of MI, using an algorithmic approach that is implemented with a state-of-the-art convolutional neural network (CNN). The advanced object detection lightweight CNN models are as follows: Single Shot Detector Mobile Net V2, and Single Shot Detector Inception V2, which were utilized for designing the vital signs MI model from the 500 Red Blue Green Color images private dataset. The authors developed cardiac emergency health monitoring care using an Edge Artificial Intelligence (“Edge AI”) using NVIDIA’s Jetson Nano embedded GPU platform. The proposed model is mainly focused on the factors of low cost and less power consumption for onboard real-time detection of vital signs of myocardial infarction. The evaluated metrics achieve a mean Average Precision of 85.18%, Average Recall of 88.32%, and 6.85 frames per second for the generated detections.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 40--55
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Music Playlist Generation using Facial Expression Analysis and Task Extraction
    Autorzy:
    Sen, A.
    Popat, D.
    Shah, H.
    Kuwor, P.
    Johri, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/908868.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    facial expression analysis
    emotion recognition
    feature extraction
    viola jones face detection
    gabor filter
    adaboost
    k-NN algorithm
    task extraction
    music classification
    playlist generation
    Opis:
    In day to day stressful environment of IT Industry, there is a truancy for the appropriate relaxation time for all working professionals. To keep a person stress free, various technical or non-technical stress releasing methods are now being adopted. We can categorize the people working on computers as administrators, programmers, etc. each of whom require varied ways in order to ease themselves. The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. In this paper, we discuss a user intuitive smart music player. This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively the music will be played for the user to relax them. The music player will take into account the foreground processes which the person is executing on the computer. Since various sort of music is available to boost one's enthusiasm, taking into consideration the tasks executed on the system by the user and the current emotions they carry, an ideal playlist of songs will be created and played for the person. The person can browse the playlist and modify it to make the system more flexible. This music player will thus allow the working professionals to stay relaxed in spite of their workloads.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2016, 16, 2; 1-6
    1732-1360
    2083-3628
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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