The Charles Stark Draper Laboratory, Inc.

Philip D Parks

Jesse J Wheeler

Laura Jane Mariano

Andrew Czarnecki

Andrea K Webb

James E Moran

Nirmal Keshava

Marc W McConley

Keith B Baldwin

David Goldberg

Joshua C Poore

Alex Kindle

The systems and methods described herein include an external base station with a tethered transceiver, an implanted hub that includes power, telemetry, and processing electronics, and a plurality of implanted satellite that contain reconfigurable front-end electronics for interfacing with electrodes. The system can operate in different modes. In a first mode, called a base boost mode, the external base station is used for closed-loop control of stimulation therapies. In a second, autonomous mode, closed-loop control is performed in the hub without direct influence from the base station. In a third mode, streams of neural data are transmitted to an offline processor for offline analysis.

Implantable hub and satellite system for neural recording and stimulation

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. The interview assessment is output by the computer.

Method for detecting deception and predicting interviewer accuracy in investigative interviewing using interviewer, interviewee and dyadic physiological and behavioral measurements

Growing community of inventors

Jamaica Plain, MA, United States of America

Philip D Parks