Patents by Inventor Sharon E. Sonenblum

Sharon E. Sonenblum 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).

  • Wheelchair in-seat activity tracker
    Patent number: 10357186
    Abstract: In a system for determining in-seat behavior of a user, a sensor mat is placed on a location of the seat. The sensor mat includes a plurality of sensors that are distributed anthropometrically so as to be placed below predetermined anatomical sites of a typical user. At least one training episode in which the user assumes at least one predetermined posture for a predetermined amount of time is executed. Training data from each of the plurality of sensors is recorded and sensor parameters are adjusted based on the training data. After the training episode, use data is sensed from the plurality of sensors during normal use of the seat by the user. The in-seat behavior of the user is characterized based on the use data which results in the generation of characterization data. At least one predetermined action is taken based on the characterization data.
    Type: Grant
    Filed: August 9, 2017
    Date of Patent: July 23, 2019
    Assignee: Georgia Tech Research Corporation
    Inventors: Sharon E. Sonenblum, Stephen Sprigle, James S. Martin
  • Wheelchair in-Seat Activity Tracker
    Publication number: 20180042525
    Abstract: In a system for determining in-seat behavior of a user, a sensor mat is placed on a location of the seat. The sensor mat includes a plurality of sensors that are distributed anthropometrically so as to be placed below predetermined anatomical sites of a typical user. At least one training episode in which the user assumes at least one predetermined posture for a predetermined amount of time is executed. Training data from each of the plurality of sensors is recorded and sensor parameters are adjusted based on the training data. After the training episode, use data is sensed from the plurality of sensors during normal use of the seat by the user. The in-seat behavior of the user is characterized based on the use data which results in the generation of characterization data. At least one predetermined action is taken based on the characterization data.
    Type: Application
    Filed: August 9, 2017
    Publication date: February 15, 2018
    Applicant: Georgia Tech Research Corporation
    Inventors: Sharon E. Sonenblum, Stephen Sprigle, James S. Martin