Hand labelled eye movements and targets, together with the output of three automatic classification algorithms for the GazeCom data set
Ioannis Agtzidis
711b8b47ea
Fixing links
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преди 5 години | |
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| gaze_arff | преди 5 години | |
| ground_truth | преди 5 години | |
| output_berg_itti | преди 5 години | |
| output_larsson | преди 5 години | |
| output_sp_tool | преди 5 години | |
| targets_arff | преди 5 години | |
| LICENSE | преди 5 години | |
| README.md | преди 5 години |
Here we provide labels for the GazeCom data set. The original gaze files and movie clip are available here.
The ARFF representations of the original GazeCom eye tracking files are provided in the gaze_arff folder and are organized per movie clip in the corresponding file.
The hand annotated fixations, saccades, smooth pursuit, and noise (tracking loss, blinks, physically impossible eye movements) are provided in the ground_truth folder.
We also provide the annotations from our algorithm as detected from the sp_tool, which is based on Agtzidis et al. (2016), along with annotations from Berg et al. (2009) and Larsson et al. (2015) in the corresponding folders starting with output_.
Finally, a collection of 45 hand annotated targets is provided in the targets_arff folder.
The implementation of our detection algorithm together with a wide variety of evaluation metrics for eye movement classification ca be found here.
Agtzidis, I., Startsev, M., & Dorr, M. (2016). Smooth pursuit detection based on multiple observers. In Proceedings of the ninth biennial acm symposium on eye tracking research & applications (pp. 303-306). ACM.
Berg, D. J., Boehnke, S. E., Marino, R. A., Munoz, D. P., & Itti, L. (2009). Free viewing of dynamic stimuli by humans and monkeys. Journal of vision, 9(5), 19-19.
Larsson, L., Nyström, M., Andersson, R., & Stridh, M. (2015). Detection of fixations and smooth pursuit movements in high-speed eye-tracking data. Biomedical Signal Processing and Control, 18, 145-152.
