EEG based emotion recognition: A tutorial and review
Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …
concept in Artificial Intelligence and holds great potential in emotional health care, human …
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 …
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 …
Human emotion recognition and analysis in response to audio music using brain signals
Human emotion recognition using brain signals is an active research topic in the field of
affective computing. Music is considered as a powerful tool for arousing emotions in human …
affective computing. Music is considered as a powerful tool for arousing emotions in human …
The impact of different sounds on stress level in the context of EEG, cardiac measures and subjective stress level: A pilot study
S Paszkiel, P Dobrakowski, A Łysiak - Brain sciences, 2020 - mdpi.com
Everyone experiences stress at certain times in their lives. This feeling can motivate,
however, if it persists for a prolonged period, it leads to negative changes in the human …
however, if it persists for a prolonged period, it leads to negative changes in the human …
A systematic review for human EEG brain signals based emotion classification, feature extraction, brain condition, group comparison
The study of electroencephalography (EEG) signals is not a new topic. However, the
analysis of human emotions upon exposure to music considered as important direction …
analysis of human emotions upon exposure to music considered as important direction …
A review on EEG signals based emotion recognition
M Zangeneh Soroush, K Maghooli… - International …, 2017 - eprints.go2submission.com
Emotion recognition has become a very controversial issue in brain-computer interfaces
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …
The effect of time window length on EEG-based emotion recognition
D Ouyang, Y Yuan, G Li, Z Guo - Sensors, 2022 - mdpi.com
Various lengths of time window have been used in feature extraction for
electroencephalogram (EEG) signal processing in previous studies. However, the effect of …
electroencephalogram (EEG) signal processing in previous studies. However, the effect of …
Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization
Objective characterization of affective states during music clip watching could lead to
disruptive new technologies, such as affective brain–computer interfaces, neuromarketing …
disruptive new technologies, such as affective brain–computer interfaces, neuromarketing …
Effect of meditation on emotional response: An EEG-based study
Meditation is one of the accepted practices to flourish in life. Emotional harmony is essential
for personal well-being. In this paper, the effect of meditation on emotional response using …
for personal well-being. In this paper, the effect of meditation on emotional response using …