Published February 9, 2017
| Version v1
Publication
A Method of EOG Signal Processing to Detect the Direction of Eye Movements
Description
In this paper, a signal processing algorithm to detect
eye movements is developed. The algorithm works with two kinds
of inputs: derivative and amplitude level of electrooculographic
signal. Derivative is used to detect signal edges and the amplitude
level is used to filter noise. Depending of movement direction,
different kinds of events are generated. Events are associated
with a movement and its route. A hit rate equal to 94% is
reached. This algorithm has been used to implement an
application that allows computer control using ocular movement
Abstract
Junta de Andalucía p08-TIC-3631Additional details
Identifiers
- URL
- https://idus.us.es/handle/11441/53897
- URN
- urn:oai:idus.us.es:11441/53897