pymovements: A Python Package for Eye Movement Data Processing
| Autor: | Daniel G. Krakowczyk, David R. Reich, Jakob Chwastek, Deborah N. Jakobi, Paul Prasse, Assunta Süss, Oleksii Turuta, Paweł Kasprowski, Lena A. Jäger |
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| Rok vydání: | 2023 |
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| Zdroj: | 2023 Symposium on Eye Tracking Research and Applications. |
| DOI: | 10.1145/3588015.3590134 |
| Popis: | We introduce pymovements: a Python package for analyzing eye-tracking data that follows best practices in software development, including rigorous testing and adherence to coding standards. The package provides functionality for key processes along the entire preprocessing pipeline. This includes parsing of eye tracker data files, transforming positional data into velocity data, detecting gaze events like saccades and fixations, computing event properties like saccade amplitude and fixational dispersion and visualizing data and results with several types of plotting methods. Moreover, pymovements also provides an easily accessible interface for downloading and processing publicly available datasets. Additionally, we emphasize how rigorous testing in scientific software packages is critical to the reproducibility and transparency of research, enabling other researchers to verify and build upon previous findings. Preprint for ETRA '23: 2023 Symposium on Eye Tracking Research and Applications |
| Databáze: | OpenAIRE |
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