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The invention relates to an algorithm, a system of procedures, a method and a hardware/software complex created on the basis thereof for the remote non-contact multichannel gathering, recording, classification, clustering and interpretation of information about the human body (understanding this to mean signals and artifacts read from mimetic, vocal, kinesic, vegetative, oculographic and semantic channels) obtained by means of analysis of audio and video content for the automatic conversion and subsequent processing of data by means of a classifier previously taught by methods of deep machine learning and artificial neural networks and issuing, at the output, a report and a complex assessment of the psycho-emotional and general physiological conditions of an individual in real time mode.