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In this paper, we present DREAMER, a multimodal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect eli.
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Apr 13, 2017 · We present DREAMER, a multi-modal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli.
Dec 18, 2017 · DREAMER is a multi-modal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli in the form of film clips.
Jan 1, 2018 · Abstract. In this work, we present DREAMER, a multi-modal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of...
DREAMER, a multimodal database consisting of electroencephalogram (EEG) and ECG) signals recorded during affect elicitation by means of audio-visual stimuli, indicates the prospects of using low-cost devices for affect recognition applications.
A multi-modal database consisting of electroencephalogram and electrocardiogram signals recorded during affect elicitation by means of audio-visual stimuli. This class generates training samples and test samples according to the given parameters, and caches the generated results in a unified input and output format (IO).
