Patents by Inventor YUNBIN DENG

YUNBIN DENG 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: 20200302951
    Abstract: A sound-based activity recognition system has the potential to better detect and identify activity in an environment compared to video-only monitoring systems. However, conventional sound recognition systems are typically unable to provide sound recognition using a single device and have limited user control of data and video integration. These shortcomings may be overcome by a sound-based activity recognition system that incorporates computationally inexpensive methods to detect and identify sounds that can be performed on a single electronic device. The activity recognition system may further provide object recognition to enable both sound and object detection. In one example, the activity recognition system may include a microphone and a camera to record audio and video from the environment and a processor to filter background noise, which reduces the amount of data processed; to identify sounds and objects using a model; and to notify a user of the sounds and objects detected.
    Type: Application
    Filed: March 18, 2020
    Publication date: September 24, 2020
    Applicant: Wave2Cloud LLC
    Inventors: Yunbin Deng, Bo Yuan
  • Patent number: 10231651
    Abstract: A gait authentication system and method is provided. The system includes a mobile computing device configured to be carried by a person while moving with a unique gait. A first sensor (e.g. an accelerometer) is carried by the mobile computing device and generates a first signal. A second sensor (e.g. a gyroscope) is carried by the mobile computing device and generates a second signal. A gait dynamics logic implements an identity vector (i-vector) approach to learn feature representations from a sequence of arbitrary feature vectors carried by the first and second signals. In the method for real time gait authentication, the computing of invariant gait representations are robust to sensor placement while preserving highly discriminative temporal and spatial gait dynamics and context.
    Type: Grant
    Filed: August 25, 2015
    Date of Patent: March 19, 2019
    Assignee: BAE Systems Information and Electronic Systems Integration Inc.
    Inventors: Yunbin Deng, Yu Zhong
  • Patent number: 10018469
    Abstract: A method of using signal processing representations from IMU/INS devices to identify terrain types. Using orientation and pace invariant gait dynamics images (GDIs) to identify terrain types. Utilizing signal processing representations from IMU/INS devices to determine relative position in GPS-denied areas. Using orientation and pace invariant gait dynamics images (GDIs) to determine relative position in GPS-denied areas. A method of using signal processing representations from IMU/INS devices to determine absolute position using GDI terrain IDs. A method of using signal processing representations from IMU/INS devices to identity position relative to land classes. Using orientation and pace in variant gait dynamics images (GDIs) to identity position relative to land classes.
    Type: Grant
    Filed: June 21, 2016
    Date of Patent: July 10, 2018
    Assignee: BAE Systems Information and Electronic Systems Integration Inc.
    Inventors: Leonid Naimark, Yunbin Deng, Geoffrey S. Meltzner, Yu Zhong
  • Publication number: 20180078179
    Abstract: A gait authentication system and method is provided. The system includes a mobile computing device configured to be carried by a person while moving with a unique gait. A first sensor (e.g. an accelerometer) is carried by the mobile computing device and generates a first signal. A second sensor (e.g. a gyroscope) is carried by the mobile computing device and generates a second signal. A gait dynamics logic implements an identity vector (i-vector) approach to learn feature representations from a sequence of arbitrary feature vectors carried by the first and second signals. In the method for real time gait authentication, the computing of invariant gait representations are robust to sensor placement while preserving highly discriminative temporal and spatial gait dynamics and context.
    Type: Application
    Filed: August 25, 2015
    Publication date: March 22, 2018
    Inventors: Yunbin DENG, Yu ZHONG
  • Publication number: 20170363427
    Abstract: A method of using signal processing representations from IMU/INS devices to identify terrain types. Using orientation and pace invariant gait dynamics images (GDIs) to identify terrain types. Utilizing signal processing representations from IMU/INS devices to determine relative position in GPS-denied areas. Using orientation and pace invariant gait dynamics images (GDIs) to determine relative position in GPS-denied areas. A method of using signal processing representations from IMU/INS devices to determine absolute position using GDI terrain IDs. A method of using signal processing representations from IMU/INS devices to identity position relative to land classes. Using orientation and pace in variant gait dynamics images (GDIs) to identity position relative to land classes.
    Type: Application
    Filed: June 21, 2016
    Publication date: December 21, 2017
    Inventors: Leonid Naimark, Yunbin Deng, Geoffrey S. Meltzner, Yu Zhong
  • Patent number: 9824265
    Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.
    Type: Grant
    Filed: June 13, 2016
    Date of Patent: November 21, 2017
    Assignee: BAE Systems Information and Electronic Systems Integration Inc.
    Inventors: Yu Zhong, Yunbin Deng, Geoffrey S. Meltzner
  • Publication number: 20160307031
    Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.
    Type: Application
    Filed: June 13, 2016
    Publication date: October 20, 2016
    Inventors: Yu Zhong, Yunbin Deng, Geoffrey S. Meltzner
  • Publication number: 20150268300
    Abstract: A system and automated method for mixed-signal circuit functional analysis is disclosed. In one embodiment, the method includes identifying hierarchical levels of functional components in an inputted mixed-signal circuit based on netlist, property of an input signal and a design knowledge base.
    Type: Application
    Filed: February 27, 2014
    Publication date: September 24, 2015
    Applicant: BAE SYSTEMS INFORMATION AND ELECTRONIC SYSTEMS INTEGRATION INC.
    Inventors: YUNBIN DENG, VENKAT K. GOPALAKRISHNAN, RICK L. THOMPSON