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1 Ergebnisse
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A machine learning model for emotion recognition from physi..:
Domínguez-Jiménez, J.A
;
Campo Landines, Kiara
;
Martínez-Santos, J.C
..
Biomedical Signal Processing and Control; Vol. 55. , 2020
Link:
https://hdl.handle.net/20.500.12585/8721
RT Journal T1
A machine learning model for emotion recognition from physiological signals
UL https://suche.suub.uni-bremen.de/peid=base-ftunivtbolivar:oai:repositorio.utb.edu.co:20.500.12585_8721&Exemplar=1&LAN=DE A1 Domínguez-Jiménez, J.A A1 Campo Landines, Kiara A1 Martínez-Santos, J.C A1 De la Hoz Domínguez, Enrique José A1 Contreras Ortiz, Sonia Helena PB Elsevier Ltd YR 2020 K1 Affective computing K1 Biosignal processing K1 Emotion recognition K1 Machine learning K1 Physiological signals K1 Decision trees K1 Electrophysiology K1 Feature extraction K1 Learning systems K1 Physiological models K1 Speech recognition K1 Statistical tests K1 Support vector machines K1 Time domain analysis K1 Bio-signal processing K1 Frequency and time domains K1 Machine learning models K1 Physiological response K1 Random forest-recursive feature eliminations K1 Biomedical signal processing K1 Adult K1 Article K1 Clinical article K1 Electrodermal response K1 Feature selection K1 Female K1 Heart rate K1 Human K1 Human experiment K1 Male K1 Photoelectric plethysmography K1 Random forest K1 Recursive feature elimination K1 Sadness K1 Support vector machine K1 Videorecording JF Biomedical Signal Processing and Control; Vol. 55 LK http://dx.doi.org/https://hdl.handle.net/20.500.12585/8721 DO https://hdl.handle.net/20.500.12585/8721 SF ELIB - SuUB Bremen
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