A system and method for enhanced psychophysiological detection of deception

Through the pairing of perception (from our sensory systems - visual, auditory, and kinesthetic or VAK) with our representation systems (PS), deception reveals itself by multiple unconscious analog and digital language cues. Thus, indications that a person is being truthful, lying, or actively being deceptive can be recorded and analyzed using devices such as an electroencephalogram (EEG) or magnetoencephalogram (MEG). Consequently, the manner in which we demonstrate these microdynamic cues will dictate the significance that a particular element (either externally or internally driven) will have on our behavior or response, as an individual processes information that can be recorded and analyzed using such devices as an (EEG) or (MEG). In practice, a major difficulty with the reliability and validity of any lie detection technique is the extreme subjectivity of interpretation. Thus, to improve reliability, it is necessary to reduce the degree of subjectivity in the process through integration of methods or techniques. By base-lining how an individual processes information for lies and truths, and correlating these signatures with other micro-dynamics cues, a more accurate description of the deception can be established. Thus, merging techniques such as Human Dynamics´ organizational neuro-somatopsychoform human cognitive subjective experience model, which establishes how an individual is processing information, and the Diogenes Company´s Digital Voice Stress Analyzer technology for measurement of micro-dynamics of the autonomic microtremor, results in a system that is more reliable and accurate during the interrogation process generating a signature that can be observed and measured. These signatures/patterns provide the feedback required for determining incongruence in an individual´s verbal and non-verbal cues, reflecting how an individual internally processes information that can be recorded and analyzed using the aforementioned devices.