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@ -23,10 +23,11 @@ This repository provides all data and code used for the publication [in Frontier
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## Code
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reproducing the paper results step by step:
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1. __Extract features from raw gaze data__:
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`python compute_features.py` to compute gaze features for all participants
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`python 00_compute_features.py` to compute gaze features for all participants
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Once extracted, the features are stored in `features/ParticipantXX/window_features_YY.npy` where XX is the participant number and YY the length of the sliding window in seconds.
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## Citation
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If you want to cite this project, please use the following Bibtex format:
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