Contactless automated and remote polygraph test

A system for conducting a polygraph test, the system comprising:

• a computing device;
• a memory;
• and
• a processor, the processor configured to:
• monitor 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;
• analyze the answers to the plurality of pre-questions and monitored physiological indices using machine learning and set baselines for the monitored physiological indices;
• generate a plurality of test questions for the user based on the analysis;
• monitor physiological indices of the user during the steps of:
• providing the user with the plurality of test questions;
• and
• receiving answers from the user to the plurality of test questions,
• wherein the plurality of test questions are dynamically modified during the provision of the test questions based on evaluation of received answers to the test questions using machine learning;
• compare the baselines and the monitored physiological indices during the provision of the answers to the plurality of test questions;
• and
• provide a test result to the test questions, wherein said test result to said test questions comprises a quality assessment of said test result by calculating a ratio of non-detected data points for said monitored physiological indices to an overall number of theoretically monitored data points for said physiological indices monitored during said polygraph test.

A computer-implemented method for carrying out a polygraph test, the method comprising:

• measuring physiological parameters of a user during the steps of:
• sending to the user a first series of test questions;
• and
• collecting answers from the user to the first series of questions;
• analyzing the answers to the first series of test questions and measured physiological parameters using machine learning;
• calculating baselines for the measured physiological parameters;
• generating a second series of test questions for the user based on the analysis;
• measuring physiological parameters of the user during the steps of:
• sending to the user the second series of test questions;
• and
• collecting answers from the user to the second series of test questions,
• wherein the plurality of test questions are dynamically modified during the provision of the test questions based on evaluation of received answers to the test questions using machine learning;
• comparing the baselines and the measured physiological parameters during the collection of the answers to the second series of test questions;
• and
• providing a test result to the second series of test questions, wherein said test result to said second series of test questions comprises a quality assessment of said test result by calculating a ratio of non-detected data points for said monitored physiological parameters to an overall number of theoretically monitored data points for said physiological parameters monitored during said polygraph test.