Patents by Inventor Hanbing GAO

Hanbing GAO 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).

  • Patent number: 11331024
    Abstract: The present invention belongs to the technical field of processing and analysis of biomedical signals, and provides a calibration method for the critical point of mental fatigue based on self-organized criticality. It constructs a self-organized criticality model by using the dynamic characteristics of a brain network, and deduces the avalanche dynamics of mental fatigue, which is consistent with the internal mechanism of evolution of fatigue complexity. The critical state of calibration is dynamically stable and robust. Through the verification of the behavior data, the reliability of the critical state of mental fatigue determined from physiological and behavioral dimensions is high, providing support for the setting of the fatigue category labels to complete more accurate classification and recognition.
    Type: Grant
    Filed: August 18, 2020
    Date of Patent: May 17, 2022
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Chi Zhang, Ying Li, Fengyu Cong, Hanbing Gao
  • Publication number: 20220039716
    Abstract: The present invention belongs to the technical field of processing and analysis of biomedical signals, and provides a calibration method for the critical point of mental fatigue based on self-organized criticality. It constructs a self-organized criticality model by using the dynamic characteristics of a brain network, and deduces the avalanche dynamics of mental fatigue, which is consistent with the internal mechanism of evolution of fatigue complexity. The critical state of calibration is dynamically stable and robust. Through the verification of the behavior data, the reliability of the critical state of mental fatigue determined from physiological and behavioral dimensions is high, providing support for the setting of the fatigue category labels to complete more accurate classification and recognition.
    Type: Application
    Filed: August 18, 2020
    Publication date: February 10, 2022
    Inventors: Chi ZHANG, Ying LI, Fengyu CONG, Hanbing GAO