Patents by Inventor Nitin Kishorbhai TANWAR

Nitin Kishorbhai TANWAR has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and electronic device for accidental touch prediction using ml classification
    Patent number: 11442579
    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.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: September 13, 2022
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Ankit Agarwal, Sunil Rathour, Harshit Oberoi, Nitesh Goyal, Nitin Kishorbhai Tanwar, Vipin Khushu, Choice Choudhary
  • METHOD AND ELECTRONIC DEVICE FOR ACCIDENTAL TOUCH PREDICTION USING ML CLASSIFICATION
    Publication number: 20210181919
    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.
    Type: Application
    Filed: December 9, 2020
    Publication date: June 17, 2021
    Inventors: Ankit AGARWAL, Sunil RATHOUR, Harshit OBEROI, Nitesh GOYAL, Nitin Kishorbhai TANWAR, Vipin KHUSHU, Choice CHOUDHARY