…The release uses it to demonstrate the wavelet-entropy feature that separates…
EmoEEG-MC is a multi-context emotional EEG dataset containing 64-channel EEG and peripheral physiological signals (PPG and GSR) from 60 participants. Emotions were induced in two contexts, video viewing and mental imagery, and covered seven categories: joy, inspiration, tenderness, fear, disgust, sadness and neutral. The dataset is intended to support cross-context emotion decoding, and SVM baselines with L1 regularization achieved above-chance accuracy for binary and seven-category classification.
The Finer-grained Affective Computing EEG Dataset (FACED) contains 32-channel scalp EEG from 123 healthy participants who watched 28 emotion-eliciting video clips targeting nine emotion categories (four negative, four positive, and neutral). Participants gave self-reported ratings on 12 dimensions, including discrete emotions, valence, arousal, liking, and familiarity. The dataset supports cross-subject affective computing and the development of EEG-based emotion recognition algorithms. This version is converted to BIDS with events annotated by video and emotion labels.
…The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy…
This dataset supports brain signal-based emotion recognition. It combines magnetoencephalography (MEG) recordings from 23 participants who viewed 40 validated emotional video clips with a large-scale online behavioral survey of 500 respondents rating the same clips. Labels include Self-Assessment Manikin valence and arousal, discrete PrEmo emotion categories, and temporal highlight scene selections. Head digitization files with anatomical landmarks and HPI coil coordinates are provided for co-registration.
…including independent component analysis and wavelet-enhanced artifact removal. It allows for…
EEG recordings from participants viewing 200 object images presented in rapid serial visual presentation (RSVP) streams at 5 Hz or 20 Hz. The dataset supports investigation of the temporal representational dynamics of visual object processing under rapid presentation conditions. It accompanies a published NeuroImage study on object representations in RSVP streams.
…Periodogram, Welch, Goertzel, Yule-AR, STFT, Discrete Wavelet Transform, PSD, CSP, ICA…
Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.
…PWelch, Periodogram, FFT, Goertzel, PYULEAR (Yule-AR), STFT, DWT, PSD, Wavelet, Spectrogram…