Emotional arousal pattern (EMAP): A new database for modeling momentary subjective and psychophysiological responding to affective stimuli.

Eisenbarth, Hedwig; Oxner, Matt; Shehu, Harisu Abdullahi; Gastrell, Tim; Walsh, Amy; Browne, Will N; Xue, Bing

Eisenbarth, Hedwig; Oxner, Matt; Shehu, Harisu Abdullahi; Gastrell, Tim; Walsh, Amy; Browne, Will N; Xue, Bing.

Afiliação

Eisenbarth H; School of Psychology, Victoria University of Wellington, Wellington, New Zealand.
Oxner M; School of Psychology, Victoria University of Wellington, Wellington, New Zealand.
Shehu HA; Institute of Psychology, University of Leipzig, Leipzig, Germany.
Gastrell T; School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand.
Walsh A; School of Psychology, Victoria University of Wellington, Wellington, New Zealand.
Browne WN; Department of Clinical Neuroscience, Psychology Division, Care Sciences and Society at Karolinska Institutet Solnavagen, Solna, Sweden.
Xue B; Department of Neurobiology, Aging Research Centre, Care Sciences and Society at Karolinska Institutet Solnavagen, Solna, Sweden.

Psychophysiology ; 61(2): e14446, 2024 Feb.

Article em En | MEDLINE | ID: mdl-37724831

Assuntos

Emoções; Psicofisiologia; Humanos; Emoções/fisiologia; Nível de Alerta/fisiologia; Eletroencefalografia; Algoritmos

Palavras-chave

affective computing; data set; electroencephalogram (EEG); emotional corpora; machine learning; modeling human emotion; physiological signals

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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