Behavioural Anomaly Detection Using Eye Movements

Behavioural Anomaly Detection Using Eye Movements
Author(s):
Joe Ninan George, Affien Panicker
Keywords:
eye gaze, eye movements, Neuro-Linguistic Programming, convolutional neural network
Abstract
In a variety of human-computer interface tasks, estimating eye gaze direction is beneficial. Knowledge of the user's gaze direction can provide useful information about the user's focus. Certain eye movements, according to proponents of Neuro- Linguistic Programming (NLP), provides an educated guess about whether or not the person matches the description with the standard set of directions. Despite widespread acceptance of this concept, no previous research has been conducted to test its validity. The classification of eye gaze direction is done using a convolutional neural network.
Article Details
Unique Paper ID: 154241 Publication Volume & Issue: Volume 8, Issue 7 Page(s): 104 - 108
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