EEG-based BCI emotion recognition: A survey
Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …
processes, and simulates human affects. The user's emotional states can be sensed through …
A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals
Emotion recognition using electroencephalography (EEG) is becoming an interesting topic
among researchers. It has made a remarkable entry in the domain of biomedical, smart …
among researchers. It has made a remarkable entry in the domain of biomedical, smart …
Emotions recognition using EEG signals: A survey
Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …
decision-making processes, and in the perception of the world around us. Due to the recent …
[BOOK][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance
PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Applications in Science, Engineering, Medicine and Finance has been fully updated and …
Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
Classifying different emotional states by means of EEG-based functional connectivity patterns
YY Lee, S Hsieh - PloS one, 2014 - journals.plos.org
This study aimed to classify different emotional states by means of EEG-based functional
connectivity patterns. Forty young participants viewed film clips that evoked the following …
connectivity patterns. Forty young participants viewed film clips that evoked the following …
Emotion recognition based on convolutional neural networks and heterogeneous bio-signal data sources
Emotion recognition is a crucial application in human–computer interaction. It is usually
conducted using facial expressions as the main modality, which might not be reliable. In this …
conducted using facial expressions as the main modality, which might not be reliable. In this …
A review on the computational methods for emotional state estimation from the human EEG
A growing number of affective computing researches recently developed a computer system
that can recognize an emotional state of the human user to establish affective human …
that can recognize an emotional state of the human user to establish affective human …
Real-time EEG-based emotion monitoring using stable features
In human–computer interaction (HCI), electroencephalogram (EEG) signals can be added
as an additional input to computer. An integration of real-time EEG-based human emotion …
as an additional input to computer. An integration of real-time EEG-based human emotion …
EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning
Electroencephalogram (EEG) based emotion classification reflects the actual and intrinsic
emotional state, resulting in more reliable, natural, and meaningful human-computer …
emotional state, resulting in more reliable, natural, and meaningful human-computer …