Search results for: dysregulation of emotion - Bridge of Knowledge

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Search results for: dysregulation of emotion

Search results for: dysregulation of emotion

  • Compulsive sexual behavior and dysregulation of emotion

    Publication

    - Sexual Medicine Reviews - Year 2020

    Introduction Dysregulation of emotion (DE) is commonly seen in individuals suffering from compulsive sexual behavior (CSB), as well as represents a crucial element of its common comorbidities like mood, anxiety, and substance use disorders. Aim To investigate the links between CSB and DE. Methods A review of pertinent literature on CSB and DE was performed using EBSCO, PubMed, and Google Scholar databases. Main Outcome Measure...

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  • Borderline Personality Disorder and Emotion Dysregulation

    Journals

    ISSN: 2051-6673

  • Digestive Inflammation: Role of Proteolytic Dysregulation

    Publication
    • V. Mariaule
    • A. Kriaa
    • S. Soussou
    • S. Rhimi
    • H. Boudaya
    • J. Hernandez
    • E. Maguin
    • A. Lesner
    • M. Rhimi

    - International Journal of Molecular Sciences - Year 2021

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  • Planning education, certification and deregulation in Poland

    Publication

    - Year 2013

    The article describes the issues of planning education in Poland, how reforms are made, what are the main obstacles to teach spatial planners and what new skills are needed, as well as argues on the governmental plans to deregulate planning profession in Poland.

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  • EMOTION

    Journals

    ISSN: 1528-3542 , eISSN: 1931-1516

  • Emotion Work

    Publication

    - Year 2016

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  • Emotion work

    Publication

    - Year 2002

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  • Uncertainty in emotion recognition

    Purpose–The purpose of this paper is to explore uncertainty inherent in emotion recognition technologiesand the consequences resulting from that phenomenon.Design/methodology/approach–The paper is a general overview of the concept; however, it is basedon a meta-analysis of multiple experimental and observational studies performed over the past couple of years.Findings–The mainfinding of the paper might be summarized as follows:...

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  • Deregulation of the labour markets in the countries of Central and Eastern Europe — selected issues

    Publication

    The countries of Central and Eastern Europe in the 1990s pursued the transformation processes which were to result in introducing systemic changes and building market economies. It was a process requiring adjustment of the regulatory and system framework to the requirements of the EU. One of the areas covered by the changes was the labour market. The reforms related to the functioning of national labour markets necessitated taking...

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  • Integration in Multichannel Emotion Recognition

    Publication

    - Year 2018

    The paper concerns integration of results provided by automatic emotion recognition algorithms. It presents both the challenges and the approaches to solve them. Paper shows experimental results of integration. The paper might be of interest to researchers and practitioners who deal with automatic emotion recognition and use more than one solution or multichannel observation.

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  • Emotion Recognition and Its Applications

    The paper proposes a set of research scenarios to be applied in four domains: software engineering, website customization, education and gaming. The goal of applying the scenarios is to assess the possibility of using emotion recognition methods in these areas. It also points out the problems of defining sets of emotions to be recognized in different applications, representing the defined emotional states, gathering the data and...

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  • Human emotion recognition with biosignals

    Publication

    - Year 2022

    This chapter presents issues in the field of affective computing. Basic preliminary information for the recognition of emotions is given and models of emotions, various ways of evoking emotions, as well as their theoretical foundations are discussed. The particular attention is given to the use of physiological signals in recognizing emotions. This subject is outlined further below by presenting selected biosignals, their relationship...

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  • Emotion monitoring system for drivers

    This article describes a new approach to the issue of building a driver monitoring system. Actual systems focus, for example, on tracking eyelid and eyebrow movements that result from fatigue. We propose a different approach based on monitoring the state of emotions. Such a system assumes that by using the emotion model based on our own concept, referred to as the reverse Plutchik’s paraboloid of emotions, the recognition of emotions...

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  • Cognition and Emotion

    Journals

    ISSN: 0269-9931 , eISSN: 1464-0600

  • Emotion Review

    Journals

    ISSN: 1754-0739 , eISSN: 1754-0747

  • MOTIVATION AND EMOTION

    Journals

    ISSN: 0146-7239 , eISSN: 1573-6644

  • Motion analysis and classification with motion history imaging

    Publication

    - Year 2009

  • Emotion Recognition Using Physiological Signals

    Publication

    - Year 2015

    In this paper the problem of emotion recognition using physiological signals is presented. Firstly the problems with acquisition of physiological signals related to specific human emotions are described. It is not a trivial problem to elicit real emotions and to choose stimuli that always, and for all people, elicit the same emotion. Also different kinds of physiological signals for emotion recognition are considered. A set of...

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  • Using Physiological Signals for Emotion Recognition

    Publication

    - Year 2013

    Recognizing user’s emotions is the promising area of research in a field of human-computer interaction. It is possible to recognize emotions using facial expression, audio signals, body poses, gestures etc. but physiological signals are very useful in this field because they are spontaneous and not controllable. In this paper a problem of using physiological signals for emotion recognition is presented. The kinds of physiological...

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  • Emotion Recognition Based on Facial Expressions of Gamers

    Publication

    This article presents an approach to emotion recognition based on facial expressions of gamers. With application of certain methods crucial features of an analysed face like eyebrows' shape, eyes and mouth width, height were extracted. Afterwards a group of artificial intelligence methods was applied to classify a given feature set as one of the following emotions: happiness, sadness, anger and fear.The approach presented in this...

  • Towards Emotion Acquisition in IT Usability Evaluation Context

    Publication

    - Year 2015

    The paper concerns extension of IT usability studies with automatic analysis of the emotional state of a user. Affect recognition methods and emotion representation models are reviewed and evaluated for applicability in usability testing procedures. Accuracy of emotion recognition, susceptibility to disturbances, independence on human will and interference with usability testing procedures are...

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  • Emotion Monitor - Concept, Construction and Lessons Learned

    This paper concerns the design and physical construction of an emotion monitor stand for tracking human emotions in Human-Computer Interaction using multi-modal approach. The concept of the stand using cameras, behavioral analysis tools and a set of physiological sensors such as galvanic skin response, blood-volume pulse, temperature, breath and electromyography is presented and followed...

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  • Facial emotion recognition using depth data

    Publication

    - Year 2015

    In this paper an original approach is presented for facial expression and emotion recognition based only on depth channel from Microsoft Kinect sensor. The emotional user model contains nine emotions including the neutral one. The proposed recognition algorithm uses local movements detection within the face area in order to recognize actual facial expression. This approach has been validated on Facial Expressions and Emotions Database...

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  • Emotion Recognition for Affect Aware Video Games

    In this paper the idea of affect aware video games is presented. A brief review of automatic multimodal affect recognition of facial expressions and emotions is given. The first result of emotions recognition using depth data as well as prototype affect aware video game are presented

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  • Emotion Recognition Based on Facial Expressions of Gamers

    This article presents an approach to emotion recognition based on facial expressions of gamers. With application of certain methods crucial features of an analyzed face like eyebrows' shape, eyes and mouth width, height were extracted. Afterwards a group of artificial intelligence methods was applied to classify a given feature set as one of the following emotions: happiness, sadness, anger and fear. The approach presented in this...

  • Emotion recognition and its application in software engineering

    In this paper a novel application of multimodal emotion recognition algorithms in software engineering is described. Several application scenarios are proposed concerning program usability testing and software process improvement. Also a set of emotional states relevant in that application area is identified. The multimodal emotion recognition method that integrates video and depth channels, physiological signals and input devices...

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  • Towards New Mappings between Emotion Representation Models

    Publication

    There are several models for representing emotions in affect-aware applications, and available emotion recognition solutions provide results using diverse emotion models. As multimodal fusion is beneficial in terms of both accuracy and reliability of emotion recognition, one of the challenges is mapping between the models of affect representation. This paper addresses this issue by: proposing a procedure to elaborate new mappings,...

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  • Emotion Monitoring – Verification of Physiological Characteristics Measurement Procedures

    This paper concerns measurement procedures on an emotion monitoring stand designed for tracking human emotions in the Human-Computer Interaction with physiological characteristics. The paper addresses the key problem of physiological measurements being disturbed by a motion typical for human-computer interaction such as keyboard typing or mouse movements. An original experiment...

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  • Bimodal Emotion Recognition Based on Vocal and Facial Features

    Emotion recognition is a crucial aspect of human communication, with applications in fields such as psychology, education, and healthcare. Identifying emotions accurately is challenging, as people use a variety of signals to express and perceive emotions. In this study, we address the problem of multimodal emotion recognition using both audio and video signals, to develop a robust and reliable system that can recognize emotions...

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  • Graph Representation Integrating Signals for Emotion Recognition and Analysis

    Data reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images. Moreover, conducting experiments with a vast number of participants to build datasets for Affective Computing research is time-consuming and expensive. Therefore, it is extremely important to...

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  • Mining inconsistent emotion recognition results with the multidimensional model

    Publication

    - IEEE Access - Year 2021

    The paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...

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  • Ranking Speech Features for Their Usage in Singing Emotion Classification

    Publication

    - Year 2020

    This paper aims to retrieve speech descriptors that may be useful for the classification of emotions in singing. For this purpose, Mel Frequency Cepstral Coefficients (MFCC) and selected Low-Level MPEG 7 descriptors were calculated based on the RAVDESS dataset. The database contains recordings of emotional speech and singing of professional actors presenting six different emotions. Employing the algorithm of Feature Selection based...

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  • Scoreboard Architectural Pattern and Integration of Emotion Recognition Results

    Publication

    This paper proposes a new design pattern, named Scoreboard , dedicated for applications solving complex, multi-stage, non-deterministic problems. The pattern provides a computational framework for the design and implementation of systems that integrate a large number of diverse specialized modules that may vary in accuracy, solution level, and modality. The Scoreboard is an extension of Blackboard design pattern and comes under...

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  • Emotion Space and Society

    Journals

    ISSN: 1755-4586 , eISSN: 1878-0040

  • Model of emotions for game players

    Publication

    - Year 2015

    Affect-aware video games can respond to a game player's emotions. Such games seem to be more attractive for users. Therefore for that kind of games it is necessary to create a model of the player's emotions to know to which emotions the application should react. The paper describes different models of emotions. The questionnaire and experiment for video game players is presented. Some results of the tests are shown. Then the model...

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  • Emotions in the software development process

    Publication

    - Year 2013

    This paper presents the results of a survey on the experience of emotions in the work of software developers. Quantitative analysis revealed information about emotions affecting programmers, their frequency and impact on their performance. The concept of emotional risk to productivity was also presented. It allows to choose the emotional states, which should be avoided. Furthermore, all collected data were analyzed with information...

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  • Interpretation and modeling of emotions in the management of autonomous robots using a control paradigm based on a scheduling variable

    The paper presents a technical introduction to psychological theories of emotions. It highlights a usable ideaimplemented in a number of recently developed computational systems of emotions, and the hypothesis thatemotion can play the role of a scheduling variable in controlling autonomous robots. In the main part ofthis study, we outline our own computational system of emotion – xEmotion – designed as a key structuralelement in...

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  • Emotions and Society

    Journals

    ISSN: 2631-6897

  • Motion of electrons in a hypocycloidal monochromator

    Badano zachowanie elektronów w monochromatorze hipocykloidalnym, wykorzystującym jednorodne pole magnetyczne i pole elektryczne o symetrii walcowej. Wyprowadzone zostały równania ruchu elektronów przy założeniu zaniedbywanego wpływu efektów brzegowych oraz zbadano wpływ parametrów monochromatora na tory ruchu elektronów.

  • Motion of a sphere in vicinity of the wall

    Artykuł skupiony jest na badanich odchylenia toru cząstki w sąsiedztwie ścianki. Cząstka modelowana jest nieodkształcalną kulą zawieszoną na strunie. Systematyczne badania z wykorzystaniem kul o trzech średnicach wykonano na specjalnie zbudowanym stanowisku eksperymentalnym. Zaproponowano autorską matematyczną korelację opisującą oddziaływanie ścianki na ruch cząstki - korelacja określa to oddziaływanie w funkcji początkowej odległości...

  • Motion of a sphere in vicinity of the wall

    Publication

    - Year 2006

    W referacie rozważane jest odchylenie toru cząstki płynącej w pobliżu ścianki. Cząstka modelowana jest sztywną kulą podwieszoną na strunie. Systematyczne badania przeprowadzono dla trzech średnic kuli. Zaproponowano korelację opisującą oddziaływanie ścianki na ruch cząstki. Korelację wykorzystano do modelowania przepływu dwufazowego w wrstwie przyściennej

  • Limitations of Emotion Recognition in Software User Experience Evaluation Context

    This paper concerns how an affective-behavioural- cognitive approach applies to the evaluation of the software user experience. Although it may seem that affect recognition solutions are accurate in determining the user experience, there are several challenges in practice. This paper aims to explore the limitations of the automatic affect recognition applied in the usability context as well as...

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  • Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition

    The study presented in the article focuses on keystroke dynamics analysis applied to recognize emotional states and to authenticate users. An overview of some studies and applications in these areas is presented. Then, an experiment is described, i.e. the way of collecting data, extracting features, training classifiers and finding out the most appropriate feature subsets. The results show that it is difficult to indicate a universal...

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  • Applicability of Emotion Recognition and Induction Methods to Study the Behavior of Programmers

    Publication

    Recent studies in the field of software engineering have shown that positive emotions can increase and negative emotions decrease the productivity of programmers. In the field of affective computing, many methods and tools to recognize the emotions of computer users were proposed. However, it has not been verified yet which of them can be used to monitor the emotional states of software developers. The paper describes a study carried...

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  • Computational Approaches to Modeling Artificial Emotion – An Overview of the Proposed Solutions

    Cybernetic approach to modeling artificial emotion through the use of different theories of psychology is considered in this paper, presenting a review of twelve proposed solutions: ActAffAct, FLAME, EMA, ParleE, FearNot!, FAtiMA, WASABI, Cathexis, KARO, MAMID, FCM, and xEmotion. The main motivation for this study is founded on the hypothesis that emotions can play a definite utility role of scheduling variables in the construction...

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  • Emotion Recognition - the need for a complete analysis of the phenomenon of expression formation

    Publication

    This article shows how complex emotions are. This has been proven by the analysis of the changes that occur on the face. The authors present the problem of image analysis for the purpose of identifying emotions. In addition, they point out the importance of recording the phenomenon of the development of emotions on the human face with the use of high-speed cameras, which allows the detection of micro expression. The work that was...

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  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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  • Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

    Publication

    - SENSORS - Year 2022

    The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...

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  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Publication

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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  • WAVE MOTION

    Journals

    ISSN: 0165-2125 , eISSN: 1878-433X