Classification of emotions using EEG activity associated with different areas of the brain
It is important that interactive Affective Brain-Computer Interface (aBCI) applications support
some degree of emotional intelligence. Many of the previous works that have explored the …
some degree of emotional intelligence. Many of the previous works that have explored the …
An integrated entropy-spatial framework for automatic gender recognition enhancement of emotion-based EEGs
Investigating gender differences based on emotional changes using electroencephalogram
(EEG) is essential to understand various human behavior in the individual situation in our …
(EEG) is essential to understand various human behavior in the individual situation in our …
A channel selection method to find the role of the amygdala in emotion recognition avoiding conflict learning in EEG signals
O Almanza-Conejo, JG Avina-Cervantes… - … Applications of Artificial …, 2023 - Elsevier
Emotion recognition using electroencephalogram signals has been widely studied in the last
decade, achieving artificial intelligence models that accurately classify primitive or primary …
decade, achieving artificial intelligence models that accurately classify primitive or primary …
Multichannel optimization with hybrid spectral-entropy markers for gender identification enhancement of emotional-based EEGs
Investigating gender differences based on emotional changes supports automatic
interpretation of human intentions and preferences. This allows emotion applications to …
interpretation of human intentions and preferences. This allows emotion applications to …
Long-range correlation analysis of high frequency prefrontal electroencephalogram oscillations for dynamic emotion recognition
Numerous previous studies have proved the enormous potential of high frequency EEG in
emotion recognition, however, the current existing EEG analytic methods are not so effective …
emotion recognition, however, the current existing EEG analytic methods are not so effective …
[HTML][HTML] Affective computing in the context of music therapy: a systematic review
Music therapy is an effective tool to slow down the progress of dementia since interaction
with music may evoke emotions that stimulates brain areas responsible for memory. This …
with music may evoke emotions that stimulates brain areas responsible for memory. This …
Complexity and Entropy Analysis to Improve Gender Identification from Emotional‐Based EEGs
NK Al-Qazzaz, MK Sabir… - Journal of …, 2021 - Wiley Online Library
Investigating gender differences based on emotional changes becomes essential to
understand various human behaviors in our daily life. Ten students from the University of …
understand various human behaviors in our daily life. Ten students from the University of …
[HTML][HTML] Epileptic EEG activity detection for children using entropy-based biomarkers
Seizures, which last for a while and are a symptom of epilepsy, are bouts of excessive and
abnormally synchronized neuronal activity in the patient's brain. For young children, in …
abnormally synchronized neuronal activity in the patient's brain. For young children, in …
Recurrent quantification analysis-based emotion classification in stroke using electroencephalogram signals
Stroke is a cerebrovascular disorder, and one of the most common effects of stroke is
emotional disturbances. This present work classifies six emotions (anger, sadness …
emotional disturbances. This present work classifies six emotions (anger, sadness …
Psychological and neurophysiological effects of robot assisted activity in elderly people with cognitive decline
A Goda, T Shimura, S Murata… - Gerontology and …, 2020 - journals.sagepub.com
Robot-assisted activity (RAA) is a non-pharmacological therapy used to treat behavioral and
psychological symptoms of dementia. This study investigated the immediate effects of RAA …
psychological symptoms of dementia. This study investigated the immediate effects of RAA …