Remote Polygraph Test Using Machine Learning Baselines
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Solution Overview
Problem
Current polygraph tests rely heavily on subjective human interpretation, leading to biased results due to the examiner's influence, and require physical presence, limiting their accuracy and objectivity.
Innovation Solution
A computer-implemented method using machine learning to conduct remote polygraph tests by monitoring physiological indices such as blood pressure, sweating, heart rate, and breathing, dynamically generating test questions based on user responses to differentiate between truthful and deceptive answers without human examiner involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a human examiner conducts the polygraph test, then the test can be performed with current physical measuring instruments, but the results are biased by the examiner's subjective interpretation and influence
Solution Approach 1:
The patent replaces the mechanical system of human examiner interpretation with an automated computer-based analysis system. The computer objectively processes physiological data without human bias, substituting the subjective human decision-making process with algorithmic analysis that consistently applies predetermined criteria for determining deception.
Solution Approach 2:
The system enables self-service by allowing the polygraph test to conduct and analyze its own data without human intervention. The automated system independently processes physiological measurements, applies analysis algorithms, and generates results without requiring examiner interpretation, making the system self-sufficient and eliminating human bias entirely.
2Ease of operation
If a human examiner is present during the test, then the examiner can interact with the testee, but the physical presence creates external influences and biases on the testee's behavior
Solution Approach 1:
The patent extracts the harmful element of human presence from the testing environment. By removing the human examiner from the physical testing space and replacing them with automated computer-based systems, the patent eliminates the source of bias and external influences while maintaining the core testing functionality through remote or unattended operation.
3Quantity of substance
If traditional polygraph equipment is used, then physiological indicators can be monitored, but the system requires physical presence and complex equipment setup
Solution Approach 1:
The patent replaces complex mechanical polygraph equipment with software-based physiological monitoring systems. Instead of traditional pneumatic and mechanical sensors, the system uses computer-based sensors and algorithms to detect and analyze physiological indicators, significantly reducing physical equipment complexity while maintaining data collection capabilities.
Solution Approach 2:
The patent creates a universal system that can collect physiological data through multiple modalities (camera-based sweat detection, microphone-based respiration analysis, etc.). This multi-functional approach allows the same system to perform various physiological measurements without requiring specialized equipment for each type of measurement, reducing overall device complexity.
Data Source
AI summary
A computer-implemented method for conducting a polygraph test, the method comprising: monitoring physiological indices of a user during the steps of: providing the user with a plurality of pre-questions; and receiving answers from the user to the plurality of pre-questions; analyzing the answers to the pre-questions and physiological indices using machine learning and setting baselines for the monitored physiological indices; generating a plurality of test questions for the user based on the analysis; monitoring physiological indices of a user during the steps of: providing the user with the plurality of test questions; and receiving answers from the user to the test questions; comparing the baselines and the monitored physiological indices during the provision of answers to the test questions; and generating a test result to the test question.