System, Method, and Apparatus for Personal Identification

A human traits-based personal identification system comprising:

• a device configured to travel either on a user, on the user or with the user;
• said device further including a processor, a storage memory, a network transceiver and sensor circuits suitable for producing values representative of human traits of a person in possession of the device;
• software running on the processor having a first mathematical process that processes a first set of sensory input values from said sensor circuits thereby producing a first set of artifacts, said first set of artifacts representative of a human trait of a first user being in possession of the device, and suitable for provisioning to a second mathematical prediction process;
• a knowledge base in storage memory for storing of first set of artifacts by reference associated with a date and time of day of artifact origination;
• software running on the processor further including the second mathematical prediction process provisioned with first set of artifacts of said first mathematical process;
• said second mathematical prediction process processing a second set of sensory inputs thereby producing a predictive output indicative of the similarity of the second set of sensory inputs to said first set of sensory inputs;
• upon said predictive output attaining a certain level, the storing of the second set of sensory input values, as a query seed, to memory of the device inclusive of a time-to-live value;
• software running on the processor upon expiration of a query seed time to live assignment removes and discards the query seed from storage memory;
• software running on the processor further including a spontaneous query request for proof of identity from the user in possession of the device, said query based on query seeds in storage memory;
• and
• software running on the processor further including a process for detecting an absence of human trait recognition when expected, said process based on stored artifacts and their reference time.

A method of personal identification, the method comprising:

• collecting a set of traits of a first user in possession of a mobile device, the set of traits collected and processed in real-time and inclusive of at least two device traits or human traits indicative of the first user during a period of use of the mobile device by the first user of at least one day;
• perpetually learning two or more human traits of said first user through multiple iterative learning events wherein each of the learning events comprises iterative sensor sampling performed in real-time, producing a set of mathematical artifact outputs representative of the trait during the learning event;
• storing, over a learning period, each of the learning event mathematical output artifacts representative of device traits and human traits of the first user;
• perpetually monitoring device traits and human traits of a current user in possession of the mobile device by capturing in real-time the sensory inputs representative of human traits and processing those sensory inputs by a mathematical process provisioned with mathematical artifacts representative of the human traits previously stored, thereby producing an intermediate probability that the current user in possession of the mobile device is the first user for each of the human traits;
• and
• producing a composite probability by a second mathematical process of the said one or more intermediate probabilities, said composite probability indicative of the user in possession of the device being the first user.