Abstract: In this paper we discuss how learner’s electrical brain activity can be influenced by emotional stimuli. We conducted an experimentation in which we exposed a group of 17 learners to a series of pictures from the International Affective Picture System (IAPS) while their electrical brain activity was recorded. We got 33.106 recordings. In an exploratory study we examined the influence of 24 picture categories from the IAPS on the amplitude variations of the 4 brainwaves frequency bands: δ, ϕ, α and β. We used machine learning techniques to track the amplitudes in order to predict the dominant frequency band which inform about the learner mental and emotional states. Correlation and regression analyses show a significant impact of t...
This report provides an overview of the Electroencephalogram (EEG) Brain Signal Analysis Project. Th...
Abstract: In this work, we developed a new approach to predict learning performance regarding a grou...
Enhancements in cognitive neuroscience and brain imaging technologies such as Human-Computer Interac...
Abstract—This paper investigates how the use of machine learning techniques can significantly predic...
This paper investigates how the use of machine learning techniques can significantly predict the thr...
Abstract. The Affective model of Interplay between Emotions and Learning (AMIBEL) is a model propose...
This paper discusses novel research conducted to study the direct impact of learner’s affective chan...
There are various researches focusing on emotions recognition which include using different modaliti...
There are various researches focusing on emotions recognition which include using different modaliti...
Emotions play a key role in non-verbal communication, accompany everyone in daily life, and are es...
Abstract: Our project focused on recognizing emotion from human brain activity, measured by EEG sign...
Abstract. Recent works in Computer Science, Neurosciences, Education, and Psychology have shown that...
Understanding learners’ emotions can help optimize instruction sand further conduct effective learni...
This report provides an overview of the Electroencephalogram (EEG) Brain Signal Analysis Project. Th...
User-centered computer based learning is an emerging field of interdisciplinary research. Research i...
This report provides an overview of the Electroencephalogram (EEG) Brain Signal Analysis Project. Th...
Abstract: In this work, we developed a new approach to predict learning performance regarding a grou...
Enhancements in cognitive neuroscience and brain imaging technologies such as Human-Computer Interac...
Abstract—This paper investigates how the use of machine learning techniques can significantly predic...
This paper investigates how the use of machine learning techniques can significantly predict the thr...
Abstract. The Affective model of Interplay between Emotions and Learning (AMIBEL) is a model propose...
This paper discusses novel research conducted to study the direct impact of learner’s affective chan...
There are various researches focusing on emotions recognition which include using different modaliti...
There are various researches focusing on emotions recognition which include using different modaliti...
Emotions play a key role in non-verbal communication, accompany everyone in daily life, and are es...
Abstract: Our project focused on recognizing emotion from human brain activity, measured by EEG sign...
Abstract. Recent works in Computer Science, Neurosciences, Education, and Psychology have shown that...
Understanding learners’ emotions can help optimize instruction sand further conduct effective learni...
This report provides an overview of the Electroencephalogram (EEG) Brain Signal Analysis Project. Th...
User-centered computer based learning is an emerging field of interdisciplinary research. Research i...
This report provides an overview of the Electroencephalogram (EEG) Brain Signal Analysis Project. Th...
Abstract: In this work, we developed a new approach to predict learning performance regarding a grou...
Enhancements in cognitive neuroscience and brain imaging technologies such as Human-Computer Interac...