Patent ID: 9207760
Filing Date: 2015-12-08
Classification: G02B,G06F,G06K,G06N

Abstract:
1. A method comprising: receiving training data that includes proximity-sensor data, wherein the proximity-sensor data is generated by at least one inward-facing proximity sensor of a head-mountable device (HMD), wherein the at least one proximity sensor is directed towards a side of an eye, wherein the proximity-sensor data is indicative of light received by the at least one proximity sensor after a reflection of the light from an eye area, wherein at least a substantial portion of the eye area is constituted by skin at the side of the eye that wrinkles when an eye gesture of the eye occurs, and wherein the light is generated by at least one light source of the HMD; applying a machine-learning process to the training data to generate at least one one-dimensional classifier for the eye gesture; and generating an eye-gesture model that includes the at least one one-dimensional classifier for the eye gesture, wherein the eye-gesture model is applicable to subsequent proximity-sensor data for detection of the eye gesture based on subsequent proximity-sensor data corresponding to wrinkles in the skin at the side of the eye.