Method and electronic device for accidental touch prediction using ml classification

US11442579B2 · kind B2 · utility

Assignee

• SAMSUNG ELECTRONICS CO., LTD. · KR

Inventors

• Ankit AGARWAL · Sidhauli, IN
• Sunil RATHOUR · Noida, IN
• Harshit OBEROI · Noida, IN
• Nitesh Goyal · Noida, IN
• Nitin Tanwar · Noida, IN
• Vipin Khushu · Noida, IN
• Choice CHOUDHARY · Atrauli, IN

Key dates

• Filing date: Dec 9, 2020
• Grant date: Sep 13, 2022
• Expiry date: Dec 29, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

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.