Constructing an emotion estimation model based on EEG/HRV indexes using feature extraction and feature selection algorithms
K Suzuki, T Laohakangvalvit, R Matsubara, M Sugaya - Sensors, 2021 - mdpi.com
In human emotion estimation using an electroencephalogram (EEG) and heart rate
variability (HRV), there are two main issues as far as we know. The first is that measurement …
variability (HRV), there are two main issues as far as we know. The first is that measurement …
EEG responses to auditory stimuli for automatic affect recognition
Brain state classification for communication and control has been well established in the
area of brain-computer interfaces over the last decades. Recently, the passive and …
area of brain-computer interfaces over the last decades. Recently, the passive and …
Affective computing to enhance emotional sustainability of students in dropout prevention
In ACACIA project, through its Apoya module seeks to provide means and methods to
enhance emotional sustainability as innovative approach to student's dropout prevention …
enhance emotional sustainability as innovative approach to student's dropout prevention …
Experimental approach on affective aware systems for disabled users
Y Mohamad, H Gappa, G Nordbrock - Procedia Computer Science, 2015 - Elsevier
In this paper, we present an experimental approach to design systems sensitive to user's
emotions. We describe a system for the detection of emotional states based on physiological …
emotions. We describe a system for the detection of emotional states based on physiological …
Study on elicitation and detection of emotional states with disabled users
Y Mohamad, G Nordbrock, H Gappa… - … Helping People with …, 2016 - Springer
This paper presents the results of a qualitative study on elicitation and online detection of
emotional states in users suffering from cerebral palsy (CP). Two questions stood in the …
emotional states in users suffering from cerebral palsy (CP). Two questions stood in the …
[PDF][PDF] Phase Space Density Matrix for Emotion Recognition
MM Elamir, W Al-Atabany… - International Journal of …, 2018 - academia.edu
Emotion detection of human from physiological signals is one of the active research areas
on developing intelligent humanmachine interface systems. Emotions can be expressed …
on developing intelligent humanmachine interface systems. Emotions can be expressed …
A methodological approach based on machine learning to generate a multimodal user's affective state model in adaptive educational systems
S Salmerón Majadas - 2018 - e-spacio.uned.es
The field of affective computing has been object of research over the last three decades. It
focuses on the way electronic devices might interact with the emotional dimension of the …
focuses on the way electronic devices might interact with the emotional dimension of the …
[PDF][PDF] Year of Publication: 2018
MM Elamir, W Al-Atabany, MA Aldosouky - 2018 - academia.edu
Emotion detection of human from physiological signals is one of the active research areas
on developing intelligent human-machine interface systems. Emotions can be expressed …
on developing intelligent human-machine interface systems. Emotions can be expressed …
Classification of affective states in the electroencephalogram
DT Hettich - 2016 - tobias-lib.ub.uni-tuebingen.de
The goal of the present work is to investigate the feasibility of automatic affect recognition in
the electroencephalogram (EEG) in different populations with a focus on feature validation …
the electroencephalogram (EEG) in different populations with a focus on feature validation …