Abstract
The technology for determining eye gaze direction on a monitor screen is considered by analyzing the images received from a video camera directed at a user without using additional equipment. We propose a combined convolutional neural network extracting high-level features of images with a neural network of long short-term memory that takes into account the temporal dynamics of oculomotor activity. To train the model, a representative database of video sequences with reference information concerning eye direction was collected. Experiments confirmed that accounting for temporal information increased the accuracy of recording the eye direction.
© 2018 Optical Society of America
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription