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Wyniki wyszukiwania dla: Emotiv Epoc
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Journal of Measurement and Evaluation in Education and Psychology-EPOD
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Revista de Estudios Empresariales-Segunda Epoca
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Limitations of Emotion Recognition in Software User Experience Evaluation Context
PublikacjaThis 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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Computational Approaches to Modeling Artificial Emotion – An Overview of the Proposed Solutions
PublikacjaCybernetic 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
PublikacjaThis 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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Usefulness of Keystroke Dynamics Features in User Authentication and Emotion Recognition
PublikacjaThe 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
PublikacjaRecent 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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Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review
PublikacjaThe 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
PublikacjaResearchers 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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Systematic Literature Review for Emotion Recognition from EEG Signals
PublikacjaResearchers 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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Bimodal deep learning model for subjectively enhanced emotion classification in films
PublikacjaThis research delves into the concept of color grading in film, focusing on how color influences the emotional response of the audience. The study commenced by recalling state-of-the-art works that process audio-video signals and associated emotions by machine learning. Then, assumptions of subjective tests for refining and validating an emotion model for assigning specific emotional labels to selected film excerpts were presented....
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In vitro antioxidative and binding properties of phenolics in traditional, citrus and exotic fruits
PublikacjaMany polyphenols bind proteins, therefore our research was focused on the potential of protein binding to polyphenols of investigated fruits and their health-related effects. The contents of polyphenols and related antioxidant activities of traditional, citrus and exotic fruits were compared. The presence of polyphenols (flavonoids and phenolic acids) in the investigated samples and their interaction with human serum albumin (HSA)...
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Acquisition and indexing of RGB-D recordings for facial expressions and emotion recognition
PublikacjaIn this paper KinectRecorder comprehensive tool is described which provides for convenient and fast acquisition, indexing and storing of RGB-D video streams from Microsoft Kinect sensor. The application is especially useful as a supporting tool for creation of fully indexed databases of facial expressions and emotions that can be further used for learning and testing of emotion recognition algorithms for affect-aware applications....
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A review of emotion recognition methods based on keystroke dynamics and mouse movements
PublikacjaThe paper describes the approach based on using standard input devices, such as keyboard and mouse, as sources of data for the recognition of users’ emotional states. A number of systems applying this idea have been presented focusing on three categories of research problems, i.e. collecting and labeling training data, extracting features and training classifiers of emotions. Moreover the advantages and examples of combining standard...
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Remote Estimation of Video-Based Vital Signs in Emotion Invocation Studies
PublikacjaAbstract— The goal of this study is to examine the influence of various imitated and video invoked emotions on the vital signs (respiratory and pulse rates). We also perform an analysis of the possibility to extract signals from sequences acquired with cost-effective cameras. The preliminary results show that the respiratory rate allows for better separation of some emotions than the pulse rate, yet this relation highly depends...
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Limitations of Emotion Recognition from Facial Expressions in e-Learning Context
PublikacjaThe paper concerns technology of automatic emotion recognition applied in e-learning environment. During a study of e-learning process the authors applied facial expressions observation via multiple video cameras. Preliminary analysis of the facial expressions using automatic emotion recognition tools revealed several unexpected results, including unavailability of recognition due to face coverage and significant inconsistency...
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Emotion Recognition from Physiological Channels Using Graph Neural Network
PublikacjaIn recent years, a number of new research papers have emerged on the application of neural networks in affective computing. One of the newest trends observed is the utilization of graph neural networks (GNNs) to recognize emotions. The study presented in the paper follows this trend. Within the work, GraphSleepNet (a GNN for classifying the stages of sleep) was adjusted for emotion recognition and validated for this purpose. The...
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The Impact of Lexicon Adaptation on the Emotion Mining From Software Engineering Artifacts
PublikacjaSentiment analysis and emotion mining techniques are increasingly being used in the field of software engineering. However, the experiments conducted so far have not yielded high accuracy results. Researchers indicate a lack of adaptation of the methods of emotion mining to the specific context of the domain as the main cause of this situation. The article describes research aimed at examining whether the adaptation of the lexicon...
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Borderline Personality Disorder and Emotion Dysregulation
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SEMINARS IN AVIAN AND EXOTIC PET MEDICINE
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International Journal of Work Organisation and Emotion
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Predicting emotion from color present in images and video excerpts by machine learning
PublikacjaThis work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach. The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and apply it to film excerpt emotion analysis based on colors, (c) to design an online survey...
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Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions
PublikacjaThe paper concerns accuracy of emotion recognition from facial expressions. As there are a couple of ready off-the-shelf solutions available in the market today, this study aims at practical evaluation of selected solutions in order to provide some insight into what potential buyers might expect. Two solutions were compared: FaceReader by Noldus and Xpress Engine by QuantumLab. The performed evaluation revealed that the recognition...
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A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors
PublikacjaIn recent years, emotion recognition algorithms have achieved high efficiency, allowing the development of various affective and affect-aware applications. This advancement has taken place mainly in the environment of personal computers offering the appropriate hardware and sufficient power to process complex data from video, audio, and other channels. However, the increase in computing and communication capabilities of smartphones,...
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Ontological Model for Contextual Data Defining Time Series for Emotion Recognition and Analysis
PublikacjaOne of the major challenges facing the field of Affective Computing is the reusability of datasets. Existing affective-related datasets are not consistent with each other, they store a variety of information in different forms, different formats, and the terms used to describe them are not unified. This paper proposes a new ontology, ROAD, as a solution to this problem, by formally describing the datasets and unifying the terms...
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A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces
PublikacjaIn this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation...
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Electrochemical cell impedance spectra at Eoc
Dane BadawczeThe dataset presents impedance spectrum of electrochemical cell filled with 3% NaCl solution presented in the figure below. This cell was used measured using Atlas-Sollich 0531 impedance analyser with built-in potentiostat. When changing the DC polarisation of the cell the non-linear phenomena could be observed. The impedance spectrum frequency range...
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The Multiple Dimensions of the Journey Motif in SKY Lee's Disappearing Moon Cafe
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Umovi vzaemodii kanalizacijnikh ob''ektiv s navodnenoyu gruntovoyu osnovoû.
PublikacjaPrzedstawiono szczególne warunki współpracy kanalizacji z nawodnionym podłożem gruntowym. Omówiono zagadnienia bezpieczeństwa posadowienia. Uwzględniono zagrożenia od obciążeń dynamicznych.
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Electrochemical cell impedance spectra at Eoc+100mV
Dane BadawczeThe dataset presents impedance spectrum of electrochemical cell filled with 3% NaCl solution presented in the figure below. This cell was used measured using Atlas-Sollich 0531 impedance analyser with built-in potentiostat. When changing the DC polarisation of the cell the non-linear phenomena could be observed. The impedance spectrum frequency range...
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Electrochemical cell impedance spectra at Eoc+200mV
Dane BadawczeThe dataset presents impedance spectrum of electrochemical cell filled with 3% NaCl solution presented in the figure below. This cell was used measured using Atlas-Sollich 0531 impedance analyser with built-in potentiostat. When changing the DC polarisation of the cell the non-linear phenomena could be observed. The impedance spectrum frequency range...
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Electrochemical cell impedance spectra at Eoc-100mV
Dane BadawczeThe dataset presents impedance spectrum of electrochemical cell filled with 3% NaCl solution presented in the figure below. This cell was used measured using Atlas-Sollich 0531 impedance analyser with built-in potentiostat. When changing the DC polarisation of the cell the non-linear phenomena could be observed. The impedance spectrum frequency range...
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Electrochemical cell impedance spectra at Eoc-200mV
Dane BadawczeThe dataset presents impedance spectrum of electrochemical cell filled with 3% NaCl solution presented in the figure below. This cell was used measured using Atlas-Sollich 0531 impedance analyser with built-in potentiostat. When changing the DC polarisation of the cell the non-linear phenomena could be observed. The impedance spectrum frequency range...
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Ontological Modeling for Contextual Data Describing Signals Obtained from Electrodermal Activity for Emotion Recognition and Analysis
PublikacjaMost of the research in the field of emotion recognition is based on datasets that contain data obtained during affective computing experiments. However, each dataset is described by different metadata, stored in various structures and formats. This research can be counted among those whose aim is to provide a structural and semantic pattern for affective computing datasets, which is an important step to solve the problem of data...
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Veterinary Clinics of North America - Exotic Animal Practice
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Innovazioni fraseologiche nei titoli della stampa italiana: una classificazione dei motivi delle innovazioni fraseologiche
PublikacjaThe purpose of this study is to investigate the phenomenon of phraseological innovations in the titles of the articles in one of the Italian newspapers La Stampa. In the first part of the article, key terms such as the phraseological norm and the phraseological innovation have been defined, taking into account various terms related to this process. Then, some innovation classifications have been presented. Finally, the analytical...
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Antioxidant properties and bioactive constituents of some rare exotic thai fruits and comparison with conventional fruits. in vitro and in vivo studies
PublikacjaPrzedmiotem badań były ekstrakty uzyskane zarówno z egzotycznych owoców z terenu Tajlandii (durian, snake fruit, mangosteen) jak i owoców ''konwencjonalnych'' (mango, kiwi, awokado) w celu porównania zawartości związków bioaktywnych i aktywności przeciwutleniającej.Wyniki badań prowadzonych zarówno in vitro jak i in vivo mogą być wykorzystane przy opracowywaniu diety. W trakcie badań in vitro wykorzystano testy do określania potencjału...
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Maria Sołtysik prof. dr hab. inż. arch.
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Epoxydibenzo[b,f][1,5]diazocines: From a Hidden Structural Motif to an Efficient Solvent-Free Synthetic Protocol
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The motif EXEXXXL in the cytosolic tail of the secretory human proprotein convertase PC7 regulates its trafficking and cleavage activity
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The set of 22 sessions of 14-channel eeg signals recorded during watching pictures
Dane BadawczeThe data were collected in order to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals collected from 10 persons within 22 sessions, during which 45 different random photos taken from the ImageNet...
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Neural oscillations induced by IAPS pictures (session 10)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 1)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 9)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 5)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 2)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 11)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 3)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 6)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 4)
Dane BadawczeThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...