Patents by Inventor Tsvi TSADOK

Tsvi TSADOK 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).

  • System and method for passive remote monitoring of patients' fine motor behavior
    Patent number: 10786182
    Abstract: A system and method for assessing fine motor functions based on user input patterns. The method comprises collecting raw data related to at least an interaction of a user with a computing device; computing, based on the raw data, at least one biometric attribute; generating a session pattern based on the at least one biometric attribute; and generating using the session pattern and a decision model a scale index indicating a current condition of the fine motor functionality of the user data.
    Type: Grant
    Filed: September 9, 2015
    Date of Patent: September 29, 2020
    Assignee: THE JOAN AND IRWIN JACOBS TECHNION-CORNELL INSTITUTE
    Inventors: Yaron Levinson, Tsvi Tsadok
  • SYSTEM AND METHOD FOR MONITORING GROSS MOTOR BEHAVIOR
    Publication number: 20170199969
    Abstract: A system and method for assessing gross motor functions based on user input patterns are provided. The method includes receiving raw data related to at least a movement of a user; computing, based on the raw data, at least one step feature; generating a session pattern based on the at least one step feature; and generating, using the session pattern and a decision model, a scale index indicating a current condition of the gross motor functionality of the raw data.
    Type: Application
    Filed: January 11, 2016
    Publication date: July 13, 2017
    Applicant: The Joan and Irwin Jacobs Technion-Cornell Innovation Institute
    Inventors: Yaron LEVINSON, Tsvi TSADOK
  • SYSTEM AND METHOD FOR PASSIVE REMOTE MONITORING OF PATIENTS' FINE MOTOR BEHAVIOR
    Publication number: 20170065211
    Abstract: A system and method for assessing fine motor functions based on user input patterns. The method comprises collecting raw data related to at least an interaction of a user with a computing device; computing, based on the raw data, at least one biometric attribute; generating a session pattern based on the at least one biometric attribute; and generating using the session pattern and a decision model a scale index indicating a current condition of the fine motor functionality of the user data.
    Type: Application
    Filed: September 9, 2015
    Publication date: March 9, 2017
    Applicant: The Joan and Irwin Jacobs Technion-Cornell Innovation Institute
    Inventors: Yaron LEVINSON, Tsvi TSADOK