Patents by Inventor Joshua C. Poore

Joshua C. Poore 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