Methods for classifying touch inputs on a capacitive interface

Abstract

Embodiments of the present application provide methods for classifying a detected touch input on a capacitive interface. A sequence of capacitive images representing capacitive sensor data associated with touch inputs detected during a continuous touch gesture is obtained. The capacitive images are sequentially processed using a machine learning model. A touch region of the capacitive image that corresponds to an area of the capacitive interface associated with a current touch input for the capacitive image is identified. A set of features of the identified touch region is extracted using the machine learning model. A state of touch of the capacitive image is determined based on the extracted set of features and one or more previous capacitive images associated with previously detected touch inputs during the continuous touch gesture.