A5027461703- Biomedical Text Mining and Ontologies
- Data-Driven Disease Surveillance
- Retinal Imaging and Analysis
- Visual Attention and Saliency Detection
- Machine Learning in Bioinformatics
- Gaze Tracking and Assistive Technology
- Electronic Health Records Systems
- Retinal Diseases and Treatments
University of Potsdam
2023-2024
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 provides functionality key processes along the entire preprocessing pipeline. This includes parsing of eye tracker files, transforming positional into velocity data, detecting gaze events like saccades fixations, computing event properties saccade amplitude fixational dispersion visualizing results...
Eye-tracking datasets are often shared in the format used by their creators for original analyses, usually resulting exclusion of data considered irrelevant to primary purpose. In order increase re-usability existing eye-tracking more diverse and initially not use cases, this work advocates a new approach sharing data. Instead publishing filtered pre-processed datasets, at all pre-processing stages should be published together with quality reports. transparently report enable cross-dataset...
Eye-tracking datasets are often shared in the format used by their creators for original analyses, usually resulting exclusion of data considered irrelevant to primary purpose. In order increase re-usability existing eye-tracking more diverse and initially not use cases, this work advocates a new approach sharing data. Instead publishing filtered pre-processed datasets, at all pre-processing stages should be published together with quality reports. transparently report enable cross-dataset...
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain output deep neural sequence models task oculomotric biometric identification. These provide saliency maps highlight important input features a specific gaze sequence. However, date, its localization analysis been lacking quantitative approach across entire datasets. In this work, we employ established event detection algorithms fixations and saccades quantitatively evaluate impact...