2 RELATED WORK
2.1 Electrooculography Applications
Eye movement characteristics such as saccades, fixations,
and blinks, as well as deliberate movement patterns
detected in EOG signals, have already been used for
hands-free operation of static human-computer [11] and
human-robot [12] interfaces. EOG-based interfaces have
also been developed for assistive robots [13] or as a control
for an electric wheelchair [14]. Such systems are intended to
be used by physically disabled people who have extremely
limited peripheral mobility but still retain eye-motor
coordination. These studies showed that EOG is a measurement
technique that is inexpensive, easy to use, reliable, and
relatively unobtrusive when compared to head-worn
cameras used in video-based eye trackers. While these
applications all used EOG as a direct control interface, our
approach is to use EOG as a source of information on a
person’s activity.