by Fathi, A., Li, Y., & Rehg, J. M., published in the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . Key Details about the Dataset
Researchers use this specific paper to understand how (where the person is looking) can be used to improve the accuracy of recognizing complex, long-term actions. If you are working with this file for a project, you likely need to cite this paper for the dataset's methodology and baseline results. g404_001.mp4
The dataset consists of first-person videos of subjects performing meal preparation tasks (e.g., making a sandwich, tea, or coffee) while wearing a head-mounted camera and eye-tracker. by Fathi, A
The "proper" or seminal paper associated with this dataset and its specific video naming convention is: If you are working with this file for
The video is part of the GTEA Gaze+ Dataset hosted by the Georgia Institute of Technology.
