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Effect of emotive stimulation in EEG signal
Vaněčková, Tereza ; Ronzhina, Marina (referee) ; Bubník, Karel (advisor)
This thesis deals with emotions and their effect on EEG signal. Firstly, method of electroencephalography, the method of scanning EEG signal, its properties, frequency bands and signal affecting factors are described. The following is an explanation of emotions, its expression, theories of emotion origin, dimensions, classification and lateralization of emotional experience. Furthermore, review of studies that have influenced this work is provided. The practical part consists of the experimental measurement description, principle of stimuli selection, signal EEG recording using the Emotiv EPOC device and the Self-Assessment Manikin evaluation. There are also clarified methods of data processing and selection of emotion related features of EEG signal. The final section summarizes the achieved results and outlines possible continuation of emotional states recognizing.
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Physiological Data to Analyze and Improve the User Experience
Štěpánek, Daniel ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
The goal of this thesis is to obtain dataset of physiological data for user emotions in order to analyze and improve human-computer interaction. This paper proposes of the use Empatica wristband to capture physiological data and Python for data processing. After evaluation, 94 % of intact data was obtained from the expected number of samples. Based on the obtained data, it is possible to better analyze the user experience and thus improve it.
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Convolutional Neural Networks for Emotion Recognition
Jileček, Jan ; Najman, Pavel (referee) ; Hradiš, Michal (advisor)
Convolutional neural networks are used for various tasks, but foremost in machine learning, in which they excel. This work is going to introduce some existing frameworks, other algorithms for recognition and then we describe the training dataset creation and the model for emotion recognition training process. Mentioned model has accuracy of 60%. It is used for emotion statistics retrieval from movie trailers. Model for genre recognition is created from those statistics and then finally used in our application for genre recognition of the input trailer, with best accuracy of 47%.
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Recognition of emotions in Czech texts
Červenec, Radek ; Smékal, Zdeněk (referee) ; Burget, Radim (advisor)
With advances in information and communication technologies over the past few years, the amount of information stored in the form of electronic text documents has been rapidly growing. Since the human abilities to effectively process and analyze large amounts of information are limited, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. These kinds of systems have extensive applications. The purpose of this work is to design and implement a system for identifying expression of emotions in Czech texts. The proposed system is based mainly on machine learning methods and therefore design and creation of a training set is described as well. The training set is eventually utilized to create a model of classifier using the SVM. For the purpose of improving classification results, additional components were integrated into the system, such as lexical database, lemmatizer or derived keyword dictionary. The thesis also presents results of text documents classification into defined emotion classes and evaluates various approaches to categorization.
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Facial expressions of emotions
Zajícová, Markéta ; Bahbouh, Radvan (advisor) ; Boukalová, Hedvika (referee)
Title: Facial Expressions of Emotions Author: Bc. Markéta Zajícová Department: Department of Psychology, Charles University in Prague, Faculty of Arts Supervisor: doc. PhDr. MUDr. Mgr. Radvan Bahbouh, Ph.D. Abstract: The theses is dedicated to facial expressions of emotions, it begins with a brief introduction to the topic of emotions as one of the cognitive functions, there is a definition of the term, classification of emotions and their psychopathology, it briefly summarizes the various theories of emotions. The greater part of the theoretical section is devoted to basic emotions and their manifestation in the face, as well as the ability to recognize and imitate them. The theoretical part is closed by the topic of emotional intelligence as a unifying element that highlights the importance of this issue. Empirical part is primarily focused on two abilities related to facial expressions of emotions, specifically the recognition and the production of them, then links these capabilities with additional characteristics as the gender, the education and their self-estimation. The main finding of this theses is that there is a statistical significant relationship (ρ=0.35, α=0.05) between the emotion recognition and production. Key words: Basic Emotion, Facial Expressions of Emotions, Emotion Recognition,...
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Emotion Recognition from Brain Electroencephalogram (EEG) Signals
Fritz, Karel ; Jawed, Soyiba (referee) ; Malik, Aamir Saeed (advisor)
Tato studie se zaměřuje na klasifikaci emocí z elektroencefalogramu (EEG). Kombinuje znalosti o fyziologii mozku (a emocí), s frekvenční analýzou, analýzou složitosti, zpracov- áním signálů a hlubokým strojovým učením (CNN, GNN). Cílem této práce je vytvořit model pro klasifikaci emocí a poskytnout nové náhledy do rozpoznávání emocí z EEG. Vytvořené modely stojí na principech CNN, GNN, multitask a self supervised tréninku. Jedním z výsledků bylo dosažení State of the Art výsledků na datasetu SEED. Proces porozumění této úloze sdílím na konci této práce.
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Emotionality of children who experienced domestic violence in their families
Benešová, Klára ; Šulová, Lenka (advisor) ; Šírová, Eva (referee)
This thesis studies a specific population of children exposed to domestic violence. The theoretical part is focused on the impacts of domestic violence on emotionality and emotional development of children. It also deals with the problematic aspects of children's emotionality that are believed to be disturbed by this traumatizing experience. These particular areas were chosen based on present studies focused on the children exposed to domestic violence. The empirical part of the study was developed in cooperation with the Locika centre. It studies chosen aspects of children's emotionality in a quantitative and qualitative way. Particularly, it investigates the ability to distinguish emotions and the ability of emotion regulation within the overall cognitive development.
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Physiological Data to Analyze and Improve the User Experience
Štěpánek, Daniel ; Beran, Vítězslav (referee) ; Materna, Zdeněk (advisor)
The goal of this thesis is to obtain dataset of physiological data for user emotions in order to analyze and improve human-computer interaction. This paper proposes of the use Empatica wristband to capture physiological data and Python for data processing. After evaluation, 94 % of intact data was obtained from the expected number of samples. Based on the obtained data, it is possible to better analyze the user experience and thus improve it.
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