Abstract: A method and capacitive touch panel are provided. The method includes receiving, by a sensing circuit, raw data for detecting a touch object in a proximity of a capacitive touch panel, where the raw data includes a difference of a mutual capacitance value and a self-capacitance value at each of touch nodes of the capacitive touch panel; processing, by a touch sensing controller, the received raw data to derive digitized capacitance data; classifying, by the touch sensing controller, the digitized capacitance data; and estimating, by the touch sensing controller, at least one of a location of the touch object on the capacitive touch panel and a distance of the touch object from the capacitive touch panel within the proximity using the classified capacitance data.

Abstract: A method and apparatus are disclosed for determining the shape and orientation of an object touching a touch panel on, for example, a handheld device. The method comprises extracting and storing in a training phase a plurality of touch attributes corresponding to a plurality of predefined objects touching the touch panel, receiving in a test phase an input data for a test object touching the touch panel, wherein the input data comprises a plurality of values corresponding to difference mutual capacitance at each node of the touch panel, determining a plurality of touch attributes associated with the test object by comparing the input data with the plurality of features extracted during the training phase and approximating input data of the test object with the plurality of touch attributes obtained in the training phase to determine the shape and orientation of the test object.

Abstract: A method and system for detecting a hover event are provided. The method for detecting a hover event in an electronic device includes identifying a number of hover events performed with respect to a display of the electronic device, and performing at least one operation based on the identified number of the hover events.

Abstract: A method and apparatus are disclosed for determining the shape and orientation of an object touching a touch panel on, for example, a handheld device. The method comprises extracting and storing in a training phase a plurality of touch attributes corresponding to a plurality of predefined objects touching the touch panel, receiving in a test phase an input data for a test object touching the touch panel, wherein the input data comprises a plurality of values corresponding to difference mutual capacitance at each node of the touch panel, determining a plurality of touch attributes associated with the test object by comparing the input data with the plurality of features extracted during the training phase and approximating input data of the test object with the plurality of touch attributes obtained in the training phase to determine the shape and orientation of the test object.