Patents by Inventor Zsolt ROBOTKA

Zsolt ROBOTKA 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).

  • Publication number: 20240127006
    Abstract: A method for recognizing sign language using collaborative augmented reality devices is described. In one aspect, a method includes accessing a first image generated by a first augmented reality device and a second image generated by a second augmented reality device, the first image and the second image depicting a hand gesture of a user of the first augmented reality device, synchronizing the first augmented reality device with the second augmented reality device, in response to the synchronizing, distributing one or more processes of a sign language recognition system between the first and second augmented reality devices, collecting results from the one or more processes from the first and second augmented reality devices, and displaying, in near real-time in a first display of the first augmented reality device, text indicating a sign language translation of the hand gesture based on the results.
    Type: Application
    Filed: October 17, 2022
    Publication date: April 18, 2024
    Inventors: Kai Zhou, Jennica Pounds, Zsolt Robotka, Márton Gergely Kajtár
  • Publication number: 20240126373
    Abstract: A hand-tracking platform generates gesture components for use as user inputs into an application of an Augmented Reality (AR) system. In some examples, the hand-tracking platform generates real-world scene environment frame data based on gestures being made by a user of the AR system using a camera component of the AR system. The hand-tracking platform recognizes a gesture component based on the real-world scene environment frame data and generates gesture component data based on the gesture component. The application utilizes the gesture component data as user input in a user interface of the application.
    Type: Application
    Filed: October 12, 2022
    Publication date: April 18, 2024
    Inventors: Attila Alvarez, Márton Gergely Kajtár, Peter Pocsi, Jennica Pounds, David Retek, Zsolt Robotka
  • Publication number: 20240070405
    Abstract: A system and method for translating sign language utterances into a target language, including: receiving motion capture data; producing phonemes/sign fragments from the received motion capture data; producing a plurality of sign sequences from the phonemes/sign fragments; parsing these sign sequences to produce grammatically parsed sign utterances; translating the grammatically parsed sign utterances into grammatical representations in the target language; and generating output utterances in the target language based upon the grammatical representations.
    Type: Application
    Filed: November 3, 2023
    Publication date: February 29, 2024
    Inventors: Dávid Retek, Dávid Pálházi, Márton Kajtar, Attila Alvarez, Péter Pócsi, András Németh, Mátyás Trosztel, Zsolt Robotka, János Rovnyai
  • Patent number: 11847426
    Abstract: A system and method for translating sign language utterances into a target language, including: receiving motion capture data; producing phonemes/sign fragments from the received motion capture data; producing a plurality of sign sequences from the phonemes/sign fragments; parsing these sign sequences to produce grammatically parsed sign utterances; translating the grammatically parsed sign utterances into grammatical representations in the target language; and generating output utterances in the target language based upon the grammatical representations.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: December 19, 2023
    Assignee: Snap Inc.
    Inventors: David Retek, David Palhazi, Marton Kajtar, Attila Alvarez, Peter Poscsi, Andras Nemeth, Matyas Trosztel, Zsolt Robotka, Janos Rovnyai
  • Publication number: 20210174034
    Abstract: A system and method for translating sign language utterances into a target language, including: receiving motion capture data; producing phonemes/sign fragments from the received motion capture data; producing a plurality of sign sequences from the phonemes/sign fragments; parsing these sign sequences to produce grammatically parsed sign utterances; translating the grammatically parsed sign utterances into grammatical representations in the target language; and generating output utterances in the target language based upon the grammatical representations.
    Type: Application
    Filed: November 8, 2018
    Publication date: June 10, 2021
    Inventors: David RETEK, David PALHAZI, Marton KAJTAR, Attila ALVAREZ, Peter POSCSI, Andras NEMETH, Matyas TROSZTEL, Zsolt ROBOTKA, Janos ROVNYAI