Personal identification system using multiple parameters having low cross-correlation

A method of matching patterns indicative of personal characteristic traits, comprising the steps of:

• reading a plurality of sensors each monitoring a respective condition;
• determining at least one criteria value from each said reading by a processor in communication with said plurality of sensors;
• storing said at least one criteria value in a sensor reading database associated with said processor;
• building a subject profile by said processor from said at least one criteria value;
• storing a plurality of accepted subject profiles in an accepted profile database;
• and
• comparing said subject profile to said plurality of accepted subject profiles in said accepted profile database.

A method of matching patterns indicative of personal characteristic traits, comprising the steps of:

• reading at least one sensor and calculating a time stamp for said reading;
• determining at least one criteria value including handwriting height, width, pressure, duration and saturation from said reading by a processor in communication with said at least one sensor by calculating a bin value, wherein said bin value denotes a subrange of values for said criteria;
• storing said at least one criteria value and said time stamp in a sensor reading database associated with said processor;
• building a subject profile comprised of a series of said bin values for said at least one criteria value by said processor from said at least one criteria value;
• storing an accepted subject profile by updating a previously stored accepted subject profile as a function of said readings stored in said sensor reading database, said at least one criteria value, and a previously stored accepted subject profile in a plurality of accepted subject profiles in an accepted profile database;
• comparing said subject profile to said plurality of accepted subject profiles in said accepted profile database;
• and
• calculating a match value from said subject profile and said accepted profile database, comprising comparing said series of bin values for each of said at least one criteria to said series of accepted subject profiles in said accepted profile database, said calculating said match value is computed as a function of said bin values differing from said accepted profile database by a tolerance threshold.