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feature extraction code

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Sabrina Hoppe 2018-05-05 21:25:39 +02:00
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# Eye movements during everyday behavior predict personality traits
*Sabrina Hoppe, Tobias Loetscher, Stephanie Morey and Andreas Bulling*
This repository provides all data used for the publication [in Frontiers in Human Neuroscience](https://dx.doi.org/10.3389/fnhum.2018.00105).
Code is coming soon!
This repository provides all data and code used for the publication [in Frontiers in Human Neuroscience](https://dx.doi.org/10.3389/fnhum.2018.00105).
## Dataset
* Gaze data recorded at 60Hz from 42 participants is stored in `data/ParticipantXX`.
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* Timestamps indicating the times when participants entered and left the shop are given in `info/annotation.csv` in seconds.
## Code
reproducing the paper results step by step:
1. __Extract features from raw gaze data__:
`python compute_features.py` to compute gaze features for all participants
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.
## Citation
If you want to cite this project, please use the following Bibtex format: