The present invention relates to a method for detecting a personality consciousness code of an individual, comprising: a) storing reference voice characteristics of different persons that represent acoustic information as expressed by human voice in a form of a time to frequency component relation b) classifying the acoustic information into 12 different personality consciousness codes by using support vector machine that analyzes said acoustic information c) receiving data indicative of a sound energy generated by the voice of said individual d) performing spectral analysis of said received sound energy in order to obtain voice characteristics from an electronic representation of said sound energy and e) comparing said obtained voice characteristics with the reference voice characteristics and determining the personality consciousness code of said individual by using the support vector machines, and using the obtained voice characteristics to determine the level of consciousness.
