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Investigate classification tasks/datasets
We'll investigate previous approaches to classify EEG data that is similar to our task at hand.
See also #17.
Classifying tasks
Likely the most similar type classification.
Synchronized Brainwave Dataset (2015)
Dataset on Kaggle: https://www.kaggle.com/berkeley-biosense/synchronized-brainwave-dataset
Stimuli:
- Video 1: https://www.youtube.com/watch?v=zkGoPdpRvaU
- Video 2: https://www.youtube.com/watch?v=sxqlOoBBjvc
They both follow the same process:
- Blinking
- Relax (closed eyes, focus on breathing)
- Arithmetic
- Relax with music
- Video clip
- Come up with examples from category
- Count squares of chosen color
A popular subset of the stimuli is relaxation vs math:
- With a SVM: https://www.kaggle.com/elsehow/classifying-relaxation-versus-doing-math
- With a NN: https://www.kaggle.com/wpncrh/classifying-tasks-using-eeg-data-w-tensorflow-nn
Reading prose vs code (Fucci et al)
No publicly available dataset. Ask Fucci?
Classifying sleep stages
Shares some similarities (long recordings, "organic" data).
See the excellent YASA: https://github.com/raphaelvallat/yasa
Classifying emotion
Might be somewhat similar. Often uses 1min clips of happy/sad movie scenes as stimuli.
Sometimes split into arousal/valence.
Classifying mental states (focus etc)
Classifying things like focus is sometimes considered a simpler task where acceptable classification can be achieved with a simple power band ratio.
EEG data for Mental Attention State Detection (focused, unfocused, drowsy)
Dataset on Kaggle (MATLAB files): https://www.kaggle.com/inancigdem/eeg-data-for-mental-attention-state-detection