Emotions affect our decision making as well as human interactions in our daily lives. Therefore, contributing to commercial activities such as the classification of emotions, neuromarketing and game industry; to be able to communicate with people who cannot express their feelings due to their disability; It has been a popular research topic for many purposes such as being able to determine the accuracy of expressions during the query and creating emotions in humanoid robots. In the researches, it is aimed to increase the classification success by using various methods. Since it is difficult for people to interfere with EEG signals in emotion classification, more realistic determinations can be made. Therefore, the examination of EEG data fo...
One of the challenges in virtual environments is the difficulty users have in interacting with these...
Emotions play an important role in human communication, interaction, and decision making processes. ...
We present a multimodal dataset for the analysis of human affective states. The electroencephalogram...
International audienceEEG signals are the modality that is widely used to recognize human emotions. ...
International audienceIn this study, we conducted a systematic literature review of 107 primary stud...
ABSTRACT Emotions are very important in human decision handling, interaction and cognitive process....
© 2019 IEEE.Recently, there are various studies in the literature for emotion analysis by using phys...
Emotion states greatly influence many areas in our daily lives, such as: learning, decision making a...
Human brain behavior is very complex and it is difficult to interpret. Human emotion might come from...
We present a multimodal data set for the analysis of human affective states. The electroencephalogra...
Emotion classification using electroencephalography (EEG) data and machine learning techniques have ...
Abstract—We present a multimodal data set for the analysis of human affective states. The electroenc...
In this study, electroencephalography-based data for emotion recognition analysis are introduced. EE...
With the great advancement in robot technology, smart human-robot interaction is considered to be th...
Emotion recognition from Electroencephalogram (EEG) rapidly gains interest from research community. ...
One of the challenges in virtual environments is the difficulty users have in interacting with these...
Emotions play an important role in human communication, interaction, and decision making processes. ...
We present a multimodal dataset for the analysis of human affective states. The electroencephalogram...
International audienceEEG signals are the modality that is widely used to recognize human emotions. ...
International audienceIn this study, we conducted a systematic literature review of 107 primary stud...
ABSTRACT Emotions are very important in human decision handling, interaction and cognitive process....
© 2019 IEEE.Recently, there are various studies in the literature for emotion analysis by using phys...
Emotion states greatly influence many areas in our daily lives, such as: learning, decision making a...
Human brain behavior is very complex and it is difficult to interpret. Human emotion might come from...
We present a multimodal data set for the analysis of human affective states. The electroencephalogra...
Emotion classification using electroencephalography (EEG) data and machine learning techniques have ...
Abstract—We present a multimodal data set for the analysis of human affective states. The electroenc...
In this study, electroencephalography-based data for emotion recognition analysis are introduced. EE...
With the great advancement in robot technology, smart human-robot interaction is considered to be th...
Emotion recognition from Electroencephalogram (EEG) rapidly gains interest from research community. ...
One of the challenges in virtual environments is the difficulty users have in interacting with these...
Emotions play an important role in human communication, interaction, and decision making processes. ...
We present a multimodal dataset for the analysis of human affective states. The electroencephalogram...