Eye Movement Analysis for Activity Recognition Using Electrooculography
This dataset was recorded to investigate the problem of recognising common office activities from eye movements. The experimental scenario involved five office-based activities – copying a text, reading a printed paper, taking handwritten notes, watching a video, and browsing the Web – and periods during which participants took a rest (the NULL class).
The dataset has the following characteristics:
* ~8 hours of eye movement data recorded using a wearable Electrooculography (EOG) system* 8 participants (2 female, 6 male), aged between 23 and 31 years
* 2 experimental runs for each participant, each run involving them in a sequence of five different, randomly ordered office activities and a period of rest
* separate horizontal and vertical EOG channels, joint sampling frequency of 128Hz
* fully ground truth annotated (5 activity classes plus NULL)
Download: Please download the full dataset here (20.9 Mb).
The data is only to be used for non-commercial scientific purposes. If you use this dataset in a scientific publication, please cite the following paper: