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Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …
and mimics human emotions. Thanks to the continued advancement of portable non …
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …
made it possible to endow machines/computers with the ability of emotion understanding …
Recognition of human emotions using EEG signals: A review
Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …
e-health care delivery, and in the development of novel human-machine interfaces. A …
Time–frequency representation and convolutional neural network-based emotion recognition
Emotions composed of cognizant logical reactions toward various situations. Such mental
responses stem from physiological, cognitive, and behavioral changes …
responses stem from physiological, cognitive, and behavioral changes …
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 …
Identifying stable patterns over time for emotion recognition from EEG
In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for
emotion recognition using a machine learning approach. Up to now, various findings of …
emotion recognition using a machine learning approach. Up to now, various findings of …
MPED: A multi-modal physiological emotion database for discrete emotion recognition
To explore human emotions, in this paper, we design and build a multi-modal physiological
emotion database, which collects four modal physiological signals, ie …
emotion database, which collects four modal physiological signals, ie …
Feature extraction and selection for emotion recognition from EEG
Emotion recognition from EEG signals allows the direct assessment of the “inner” state of a
user, which is considered an important factor in human-machine-interaction. Many methods …
user, which is considered an important factor in human-machine-interaction. Many methods …
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 …
Comparison of different feature extraction methods for EEG-based emotion recognition
EEG-based emotion recognition is a challenging and active research area in affective
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …