Patents by Inventor Andrea K. Webb

Andrea K. Webb 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: 10368792
    Abstract: Existing approaches for deception detection are primarily based on polygraph systems that measure specific channels of physiology in highly structured interviews and that are interpreted by trained polygraph examiners. Existing approaches for predicting interviewer accuracy involve interviewers' own estimates of their performances which inevitably are biased. The methods and systems described herein provides objective, quantitative and automated metrics to detect deception and predict interviewer accuracy. Physiological information of the interviewer during the interview is recorded by at least a first sensor. The physiological information includes a time series of physiological data. An interview assessment is calculated by a computer. By processing the recorded physiological information, the interview assessment indicates at least one of whether a statement made by the interviewee is likely to be deceitful and whether the interviewer is likely to be accurate in estimating truthfulness of the interviewee.
    Type: Grant
    Filed: June 2, 2015
    Date of Patent: August 6, 2019
    Assignee: THE CHARLES STARK DRAPER LABORATORY INC.
    Inventors: Nirmal Keshava, Andrea K. Webb, Laura J. Mariano, Philip D. Parks, Joshua C. Poore
  • Publication number: 20160354024
    Abstract: Existing approaches for deception detection are primarily based on polygraph systems that measure specific channels of physiology in highly structured interviews and that are interpreted by trained polygraph examiners. Existing approaches for predicting interviewer accuracy involve interviewers' own estimates of their performances which inevitably are biased. The methods and systems described herein provides objective, quantitative and automated metrics to detect deception and predict interviewer accuracy. Physiological information of the interviewer during the interview is recorded by at least a first sensor. The physiological information includes a time series of physiological data. An interview assessment is calculated by a computer. By processing the recorded physiological information, the interview assessment indicates at least one of whether a statement made by the interviewee is likely to be deceitful and whether the interviewer is likely to be accurate in estimating truthfulness of the interviewee.
    Type: Application
    Filed: June 2, 2015
    Publication date: December 8, 2016
    Inventors: Nirmal Keshava, Andrea K. Webb, Laura J. Mariano, Philip D. Parks, Joshua C. Poore
  • Patent number: 9408570
    Abstract: Post-traumatic stress disorder (PTSD), and other anxiety disorders, are diagnosed via clinical interviews in which subjective self-reports of traumatic events and associated experiences are discussed with a mental health professional. The system and methods described herein classify and diagnose patients as suffering from anxiety disorders by measuring objective physiological measures, such as inter-heartbeat interval and skin conductance. The system measures various physiological measures and then extracts features from the physiological measures. A diagnosis is then made by classifying the extracted features using one of a neural network, Bayesian network, or a support vector machine.
    Type: Grant
    Filed: May 1, 2014
    Date of Patent: August 9, 2016
    Assignee: The Charles Stark Draper Laboratory, Inc.
    Inventor: Andrea K. Webb
  • Publication number: 20140330089
    Abstract: Post-traumatic stress disorder (PTSD), and other anxiety disorders, are diagnosed via clinical interviews in which subjective self-reports of traumatic events and associated experiences are discussed with a mental health professional. The system and methods described herein classify and diagnose patients as suffering from anxiety disorders by measuring objective physiological measures, such as inter-heartbeat interval and skin conductance. The system measures various physiological measures and then extracts features from the physiological measures. A diagnosis is then made by classifying the extracted features using one of a neural network, Bayesian network, or a support vector machine.
    Type: Application
    Filed: May 1, 2014
    Publication date: November 6, 2014
    Applicant: The Charles Stark Draper Laboratory, Inc.
    Inventor: Andrea K. Webb
  • Patent number: 8540651
    Abstract: In various embodiments, a physiological or behavioral signal is derived from a vertical force resulting from the entire weight of a subject. A system for measuring physiological and behavioral signals in a human subject may include a measurement platform for bearing the subject, at least one force sensor for measuring vertical force imparted by an entire weight of the subject, and a signal processor for deriving at least one physiological or behavioral signal, such as a ballistocardiogram, from the measured force. The force sensor(s) may support the measurement platform and be disposed between the measurement platform and a support surface.
    Type: Grant
    Filed: September 16, 2010
    Date of Patent: September 24, 2013
    Assignee: The Charles Stark Draper Laboratory, Inc.
    Inventors: Lawrence E. Pfeffer, Suzanne M. Wendelken, Adam T. Fulford, Andrea K. Webb
  • Publication number: 20120071792
    Abstract: In various embodiments, a physiological or behavioral signal is derived from a vertical force resulting from the entire weight of a subject.
    Type: Application
    Filed: September 16, 2010
    Publication date: March 22, 2012
    Applicant: The Charles Stark Draper Laboratory, Inc.
    Inventors: Lawrence E. Pfeffer, Suzanne M. Wendelken, Adam T. Fulford, Andrea K. Webb