Ocular system for deception detection

Abstract

A method of deception detection, assessing operational risk or optimizing learning is based upon ocular information of a subject by providing a video camera configured to record a close-up view of a subject's eye. The ocular information is processed to identify changes in ocular signals of the subject through the use of convolutional neural networks. Changes in ocular signals are evaluated from the convolutional neural networks by a machine learning algorithm. Results can then be presented in regards to the level of deception, the level of operational risk or the best way to optimize learning. The methods are facilitated by identifying at least one predictive distortion identified in the stroma capturable solely with a visible-spectrum camera correlating to a predicted response in the iris musculature. 20 26 23 39 62 15 S ep 2 02 6 2 0 2 6 2 3 3 9 6 2 1 5 S e p 2 0 2 6

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