Samsung Electronics Co., Ltd.

Vipin Khushu

Nitesh Goyal

Sunil Rathour

Ankit Agarwal

Choice Choudhary

Abhishek Gogia

Yash Gupta

Nitin Kishorbhai Tanwar

Reetika Mittal

Sonam Chawla Bhatia

Harshit Oberoi

A method for determining a proximity of at least one object using an electronic device is provided. The method includes obtaining hover data from a touch panel of the electronic device. Further, the method includes determining at least one of a first hover or a second hover based on the hover data of the at least one object obtained for the touch panel. Further, the method includes determining the proximity of the at least one object to the touch panel of the electronic device based on at least one of the first hover or the second hover.

Method for determining proximity of at least one object using electronic device

A method for accidental touch prediction using machine learning (ML) classification is provided. The method includes determining, by an electronic device, a mutual data index of a sensor data using a first ML model. Further, the method includes recognizing whether the sensor data corresponds to an object touch or a non-object touch based on the mutual data index. Further, the method includes performing, by the electronic device, one of detecting that the electronic device is in a pocket mode and providing an object touch notification on a touch screen of the electronic device in response to determining that the sensor data corresponds to the object touch, and recognizing whether the sensor data corresponds to an accidental touch or a non-accidental touch using at least one second ML model based on touch data in response to determining that the sensor data corresponds to the non-object touch.

Method and electronic device for accidental touch prediction using ml classification

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Noida, India

Vipin Khushu