Patents by Inventor Alexey Vladimirovich Kurakin

Alexey Vladimirovich Kurakin 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).

  • Dynamic hand gesture recognition using depth data
    Patent number: 9990050
    Abstract: The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time. In an offline stage, a classifier is trained from feature values extracted from frames of depth data that are associated with intended hand gestures. In an online stage, a feature extractor extracts feature values from sensed depth data that corresponds to an unknown hand gesture. These feature values are input to the classifier as a feature vector to receive a recognition result of the unknown hand gesture. The technology may be used in real time, and may be robust to variations in lighting, hand orientation, and the user's gesturing speed and style.
    Type: Grant
    Filed: October 25, 2016
    Date of Patent: June 5, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Zhengyou Zhang, Alexey Vladimirovich Kurakin
  • Dynamic Hand Gesture Recognition Using Depth Data
    Publication number: 20170045952
    Abstract: The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time. In an offline stage, a classifier is trained from feature values extracted from frames of depth data that are associated with intended hand gestures. In an online stage, a feature extractor extracts feature values from sensed depth data that corresponds to an unknown hand gesture. These feature values are input to the classifier as a feature vector to receive a recognition result of the unknown hand gesture. The technology may be used in real time, and may be robust to variations in lighting, hand orientation, and the user's gesturing speed and style.
    Type: Application
    Filed: October 25, 2016
    Publication date: February 16, 2017
    Inventors: Zhengyou Zhang, Alexey Vladimirovich Kurakin
  • Dynamic hand gesture recognition using depth data
    Patent number: 9536135
    Abstract: The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time. In an offline stage, a classifier is trained from feature values extracted from frames of depth data that are associated with intended hand gestures. In an online stage, a feature extractor extracts feature values from sensed depth data that corresponds to an unknown hand gesture. These feature values are input to the classifier as a feature vector to receive a recognition result of the unknown hand gesture. The technology may be used in real time, and may be robust to variations in lighting, hand orientation, and the user's gesturing speed and style.
    Type: Grant
    Filed: June 18, 2012
    Date of Patent: January 3, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Zhengyou Zhang, Alexey Vladimirovich Kurakin
  • Dynamic Hand Gesture Recognition Using Depth Data
    Publication number: 20130336524
    Abstract: The subject disclosure is directed towards a technology by which dynamic hand gestures are recognized by processing depth data, including in real-time. In an offline stage, a classifier is trained from feature values extracted from frames of depth data that are associated with intended hand gestures. In an online stage, a feature extractor extracts feature values from sensed depth data that corresponds to an unknown hand gesture. These feature values are input to the classifier as a feature vector to receive a recognition result of the unknown hand gesture. The technology may be used in real time, and may be robust to variations in lighting, hand orientation, and the user's gesturing speed and style.
    Type: Application
    Filed: June 18, 2012
    Publication date: December 19, 2013
    Applicant: MICROSOFT CORPORATION
    Inventors: Zhengyou Zhang, Alexey Vladimirovich Kurakin