Patents by Inventor Jonathan S. Woodbridge

Jonathan S. Woodbridge 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).

  • Efficient searching of stationary datasets
    Patent number: 9659044
    Abstract: A saliency function is computed to indicate the saliency of each of a plurality of data points in a dataset. For each local maximum in the saliency function, a segment of the dataset is inserted into an index.
    Type: Grant
    Filed: July 19, 2012
    Date of Patent: May 23, 2017
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Majid Sarrafzadeh, Jonathan S. Woodbridge
  • Method of assessing human fall risk using mobile systems
    Patent number: 8823526
    Abstract: A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.
    Type: Grant
    Filed: June 29, 2010
    Date of Patent: September 2, 2014
    Assignee: The Regents of the University of California
    Inventors: William J. Kaiser, Majid Sarrafzadeh, Hyduke Noshadi, Shaun S. Ahmadian, Hagop Hagopian, Navid Amini, Mars Lan, Jonathan S. Woodbridge, Wenyao Xu
  • EFFICIENT SEARCHING OF STATIONARY DATASETS
    Publication number: 20140180998
    Abstract: A saliency function is computed to indicate the saliency of each of a plurality of data points in a dataset. For each local maximum in the saliency function, a segment of the dataset is inserted into an index.
    Type: Application
    Filed: July 19, 2012
    Publication date: June 26, 2014
    Inventors: Majid Sarrafzadeh, Jonathan S. Woodbridge
  • METHOD OF ASSESSING HUMAN FALL RISK USING MOBILE SYSTEMS
    Publication number: 20120092169
    Abstract: A method for determining the motive instability of an individual using foot pressure, foot speed and foot direction data collected from sensors on shoes. The sensed data is used to determine the minimum number and the placement of pressure sensors in the shoe. The data from the sensors is processed to extract spatial and temporal parameters as desired. The data is grouped into segments based on a segmentation rule. The trend in each segment is determined. The variability of the trend in each segment is determined. The risk of fall is computed on the basis of the trend and variance. The computation is adjustable by emphasizing certain parameters in order to tailor the instability assessment to a specific individual.
    Type: Application
    Filed: June 29, 2010
    Publication date: April 19, 2012
    Applicant: The Regents of the University of California
    Inventors: William J. Kaiser, Majid Sarrafzadeh, Hyduke Noshadi, Shaun S. Ahmadian, Hagop Hagopian, Navid Amini, Mars Lan, Jonathan S. Woodbridge, Wenyao Xu