Patents by Inventor Sergey Vikhlyantsev

Sergey Vikhlyantsev 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).

  • Fall detection and identification by using data from human condition safety tags
    Patent number: 11571142
    Abstract: A fall detection and identification system includes a tag worn by a user and a server. The tag collects acceleration data from one or more sensors embedded within the tag and transmits the data to the server. The server receives the data from the tag and performs an analysis on the data to detect and identify a fall. The analysis includes determining a change in acceleration of the user over the time window based on the acceleration data; comparing the change in acceleration of the user against one or more thresholds; and determining a status of the user based on the comparison of the change in acceleration of the user against the one or more thresholds.
    Type: Grant
    Filed: July 18, 2019
    Date of Patent: February 7, 2023
    Assignee: AMERICAN INTERNATIONAL GROUP, INC.
    Inventors: Mohsen Sarraf, Sergey Vikhlyantsev, Jennifer Martinez
  • METHODS AND SYSTEMS FOR DETECTING POTENTIAL INJURY CONDITIONS
    Publication number: 20210000428
    Abstract: A system includes a sensor attached to an individual and detects an individual's improper body movements that increase injury risk. The system includes a safety tag with an accelerometer that measures proper acceleration. Proper acceleration along multiple directions are projected onto multiple 2-D planes, generating acceleration vectors. Phasor angles of the acceleration vectors are calculated, and if the spread in phasor angles for any one 2-D plane within a moving time window exceeds a threshold, the system determines that the individual has made an improper body movement.
    Type: Application
    Filed: September 23, 2020
    Publication date: January 7, 2021
    Applicant: American International Group, Inc.
    Inventors: Mohsen Sarraf, Christopher Michael Bunk, Sergey Vikhlyantsev, Jennifer A. Martinez
  • Methods and systems for detecting potential injury conditions
    Patent number: 10813596
    Abstract: A system includes a sensor attached to an individual and detects an individual's improper body movements that increase injury risk. The system includes a safety tag with an accelerometer that measures proper acceleration. Proper acceleration along multiple directions are projected onto multiple 2-D planes, generating acceleration vectors. Phasor angles of the acceleration vectors are calculated, and if the spread in phasor angles for any one 2-D plane within a moving time window exceeds a threshold, the system determines that the individual has made an improper body movement.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: October 27, 2020
    Assignee: American International Group, Inc.
    Inventors: Mohsen Sarraf, Christopher Michael Bunk, Sergey Vikhlyantsev, Jennifer A. Martinez
  • FALL DETECTION AND IDENTIFICATION BY USING DATA FROM HUMAN CONDITION SAFETY TAGS
    Publication number: 20200022623
    Abstract: A fall detection and identification system includes a tag worn by a user and a server. The tag collects acceleration data from one or more sensors embedded within the tag and transmits the data to the server. The server receives the data from the tag and performs an analysis on the data to detect and identify a fall. The analysis includes determining a change in acceleration of the user over the time window based on the acceleration data; comparing the change in acceleration of the user against one or more thresholds; and determining a status of the user based on the comparison of the change in acceleration of the user against the one or more thresholds.
    Type: Application
    Filed: July 18, 2019
    Publication date: January 23, 2020
    Applicant: American International Group, Inc.
    Inventors: Mohsen Sarraf, Sergey Vikhlyantsev, Jennifer Martinez