Patents by Inventor Ishan VAID

Ishan VAID 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).

  • Methods and systems for predicting keystrokes using a unified neural network
    Patent number: 11573697
    Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.
    Type: Grant
    Filed: December 3, 2020
    Date of Patent: February 7, 2023
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Barath Raj Kandur Raja, Ankur Agarwal, Bharath C, Harshavardhana, Ishan Vaid, Kranti Chalamalasetti, Mritunjai Chandra, Vibhav Agarwal
  • METHODS AND SYSTEMS FOR PREDICTING KEYSTROKES USING A UNIFIED NEURAL NETWORK
    Publication number: 20210173555
    Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 10, 2021
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Barath Raj KANDUR RAJA, Ankur AGARWAL, Bharath C, Harshavardhana, Ishan VAID, Kranti CHALAMALASETTI, Mritunjai CHANDRA, Vibhav AGARWAL
  • SYSTEM AND METHOD FOR KEY AREA CORRECTION
    Publication number: 20180107380
    Abstract: An electronic apparatus for providing an on-screen keyboard including a plurality of keys are provided. The electronic apparatus comprises a touch interface configured to receive a touch input of a user and a processor configured to, in response to the touch input being received though the touch interface, determine a touch area where the touch input is received, in response to the plurality of keys are included in the touch area, identify a key corresponding to a touch pattern of the user among the plurality of keys, and display the identified key on a display of the electronic apparatus.
    Type: Application
    Filed: October 16, 2017
    Publication date: April 19, 2018
    Inventors: Barath Raj KANDUR RAJA, Ankur AGARWAL, Chunbae PARK, Harshavardhana POOJARI, Sungkee KIM, Vibhav AGARWAL, Youngseol LEE, Ishan VAID, Raju Suresh DIXIT, Dwaraka Bhamidipati SREEVATSA, Sanjay KAR, Sibsambhu KAR, Vanraj VALA, Yashwant Singh SAINI