Data for "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:

<ul>
<li>~8 hours of eye movement data recorded using a wearable Electrooculography (EOG) system
<li>8 participants (2 female, 6 male), aged between 23 and 31 years
<li>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
<li>separate horizontal and vertical EOG channels, joint sampling frequency of 128Hz
<li>fully ground truth annotated (5 activity classes plus NULL)
</ul>