DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices

In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli. Signals from 23 participants were recorded along with the participants self-assessment of their a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal of biomedical and health informatics 2018-01, Vol.22 (1), p.98-107
Hauptverfasser:	Katsigiannis, Stamos, Ramzan, Naeem
Format:	Artikel
Sprache:	eng
Schlagworte:	affect affect recognition Affective computing Arousal Classification Dominance ECG EEG EKG Electrocardiography Electroencephalography emotion Emotion recognition Emotional behavior Equipment costs Feature recognition Low cost Medical electronics Multimedia communication physiological signals Physiology Portable equipment Quality Self evaluation Self-assessment Support vector machines Visual signals Visual stimuli Wearable technology Wireless communication Wireless communications wireless devices
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!