FIELD OF THE DISCLOSURE

The present disclosure relates generally to a scalable configurable universal complete spectrum identity testing machine that utilizes a unique identity test dataset for one specific known person to make at least one identity test determination regarding any one specific tested person. The present disclosure more particularly relates to at least one computer that is configured to be utilized, at least in part, for testing the identity of one specific person, utilizing a file or files containing data that represent the unique cyberspace identity or identifiers for any selected one specific known person. The identity testing machine utilizes the unique cyberspace identifiers for at least one specific known person to test the identity of any one specific tested person. The identity testing machine does so utilizing predetermined criteria, cyber resources and sensor data or derived data regarding at least one specific known person and one specific tested person. Wherein the at least one specific known person is selected from the spectrum of people who have unique cyberspace identity test datasets, and the at least one specific tested person is selected from the spectrum of people whose identities have been tested by an identity testing machine.

BACKGROUND OF THE DISCLOSURE

Cybersecurity is the protection of cyber resources, including the hardware, the software and the information stored in the hardware or software, from theft or malicious damage thereto. Cybersecurity typically entails controlling access to cyber resources in order to prevent malicious disruption or misdirection of the services or of the information those cyber resources provide.

Cybersecurity has become increasingly important as the world has become increasingly reliant on cyber resources. Moreover, with the advent of the Internet of Things (IoT), networks have become increasingly complex. Hence, in addition to various types of personal computers and smart phones, networks have come to include almost any device which can be embedded with electronics, programming, sensors and network connectivity. The increasing importance of cyber systems has made cybersecurity more critical, while the increasing complexity of cyber systems has made cybersecurity increasingly challenging. Together, these factors have made existing cybersecurity measures increasingly inadequate.

At the heart of most cybersecurity failures is the complete inability of computers and cyber resources to accurately determine the identity of any one specific person prior to allowing the specific person to gain access to cyber resources. Utilizing identity testing is an indispensable part of putting an end to the security failures that now plague cyberspace.

SUMMARY OF THE DISCLOSURE

Unless otherwise specified herein, throughout this entire disclosure, use of the singular form of any word, phrase or statement indicates either the singular or the plural form of the word, phrase or statement, and use of the plural form of any word, phrase or statement indicates either the singular or the plural form of the word, phrase or statement. Additionally, the term “or” shall be construed as the logically inclusive “or”. Hence, the statement “A or B” shall be true if: (a) only A is true, (b) only B is true, or (c) both A and B are true; the notation “A and/or B” explicitly refers to the logically inclusive “or”.

In one aspect is scalable configurable universal complete spectrum identity testing machine, the identity testing machine is comprised of at least one computing device, wherein the at least one computing device utilizes:(a) at least one sensor observation,(b) criteria selected from the spectrum of criteria that may be utilized by the identity testing machine,(c) selected useful information,(d) selected necessary programming, and(e) any other necessary resources,

all of which are configured and utilized for making at least one identity test determination regarding any one specific tested person;

wherein the identity testing machine utilizes all or part of the resources of the at the least one computing device;

wherein the identity testing machine is configurable and may be configured for utilization in at least one configuration;

wherein the identity testing machine's identity tests are selected from the spectrum of identity tests that utilize sensor observations of a person in the making of determinations regarding the identity of any one specific tested person;

wherein the any one specific tested person is selected from the spectrum of people who have been tested;

wherein the any other necessary resources are selected from the spectrum of other resources that may be necessary for the identity testing machine to utilize;

wherein the identity testing machine is utilizable under at least one observation circumstance selected from the spectrum of sensor observation circumstances;

wherein the identity testing machine is utilized for at least one purpose selected from the spectrum of purposes for which identity testing machines may be utilized;

wherein the necessary programming is selected from the spectrum of programming that may be necessary for the identity testing machine to utilize;

wherein the identity testing machine utilizes useful information from at least one point in time or from over at least one period of time;

wherein the useful information is selected from the spectrum of information that may be utilized by the identity testing machine;

wherein the spectrum of useful information includes information that was from, or was derived from, at least one sensor observation;

wherein the at least one sensor observation provides useful information regarding at least one aspect of: (1) at least one sensor observation, (2) at least one specific known person, or (3) at least one specific tested person;

wherein at least one identity test determination regarding one specific tested person is selected from the spectrum of identity test determinations regarding any one specific tested person;

wherein the any one specific tested person is one specific subject of at least one identity test sensor observation;

wherein at least one aspect of one specific known person or one specific tested person is selected from the spectrum of sensor observable aspects of people;

wherein the identity testing machine utilizes at least one observed characteristic regarding the at least one aspect of the one specific known person, or the one specific tested person in the making of at least one identity test determination;

wherein the at least one observed characteristic is selected from the spectrum of sensor observable characteristics of people who are subjects of identity test sensor observations;

wherein the identity testing machine is configurable for utilizing at least one type of sensor observation selected from the group consisting of: (a) visual sensor observations, (b) audible sensor observations, (c) thermal sensor observations, (d) olfactory sensor observations, (e) tactile sensor observations, (f) chemical sensor observations, or (g) any other types of sensor observations that may be utilized by the identity testing machine;

wherein the least one sensor observation has at least one characteristic that is utilizable by the identity testing machine in the making of at least one identity test determination;

wherein the at least one characteristic is selected from the spectrum of characteristics of sensor observations that may be utilized by the identity testing machine;

wherein the identity testing machine is scalable in regard to included or utilized resources, wherein its included or utilized resources fall at one point in a range of from a minimum to a maximum;

wherein at the minimum the identity testing machine includes or utilizes only the resources that are necessary for providing for the least complex, in regard to included or utilized resources, of all identity testing machine needs for included or utilized resources; and

wherein at the maximum the identity testing machine test includes or utilizes all of the necessary resources for providing for the making of the most complex, in regard to included or utilized resources, of all identity testing machine needs for included or utilized resources;

wherein the identity testing machine is configurable for determining or utilizing at least one measure of adequacy of available resources;

wherein the identity testing machine is configurable for determining or utilizing at least one measure of adequacy of available useful information;

wherein the identity testing machine is configurable for determining or utilizing at least one measure of accuracy of at least one identity test determination;

wherein the identity testing machine is configurable for making at least one type of identity test determinations selected from the group consisting of: (1) single-event identity test determinations, (2) intermittently made identity test determinations, or (3) constantly made identity test determinations, regarding any one specific tested person;

wherein the identity testing machine is configurable for testing the identity of any one specific tested person in real time or at any time thereafter; or wherein the identity testing machine is further configurable for utilizing at least one part of at least one step selected from the group consisting of:

(a) a first series observation step, wherein the identity testing machine utilizes at least one sensor observation;

wherein one specific known person is one specific subject of the at least one sensor observation;

wherein the one specific known person has at least one specific sensor observable aspect;

wherein the identity testing machine recognizes at least one characteristic regarding the at least one specific aspect;

wherein the at least one recognized characteristic is utilizable by the identity testing machine in the making of at least one identity test determination regarding the one specific known person;

wherein the identity testing machine utilizes at least one designation from the at least one sensor observation or assigns at least one designation representing:(i) the at least one sensor observation,(ii) the at least one sensor observed aspect of the one specific known person, or(iii) the at least one sensor observed characteristic regarding at least one observed aspect;

wherein the identity testing machine includes the at least one designation, as data, in at least one first series observation record of the one specific known person;

(b) a second series observation step, wherein the identity testing machine utilizes at least one sensor observation;

wherein one specific tested person is one specific subject of the at least one sensor observation;

wherein the one specific tested person has at least one specific sensor observable aspect;

wherein the identity testing machine recognizes at least one characteristic regarding the at least one specific aspect;

wherein the at least one recognized characteristic is utilizable by the identity testing machine in the making of at least one identity test determination regarding the one specific tested person;

wherein the identity testing machine utilizes at least one designation from the at least one sensor observation or assigns at least one designation representing:(i) the at least one sensor observation,(ii) the at least one sensor observed aspect of the one specific tested person, or(iii) the at least one characteristic regarding the at least one sensor observed aspect;

wherein the identity testing machine includes at least one designation, as data, in at least one second series observation record of the one specific tested person;

(c) a processing step, wherein at least one designation from said at least one first series observation record or at least one designation from said at least one second series observation record are stored or utilized as data;

wherein at least part of the data from the at least one first series observation step or the at least one second series observation step is processed utilizing at least one method, process, procedure or formula;

wherein the at least one method, process, procedure or formula is selected from the spectrum of methods, processes, procedures or formulas that may be utilized in the processing of observation data or derived data from first series observation steps or second series observation steps;

wherein the processing of the observation data or derived data results in the creation of derived data;

wherein the observation data or the derived data is utilizable for at least one purpose selected from the spectrum of purposes for which observation data or derived data may be utilized by the identity testing machine;

wherein the at least one purpose includes utilizing the observation data or the derived data in the making of at least one identity test determination regarding any one specific tested person;

wherein at least one part of the observation data or the derived data is utilizable by the identity testing machine in at least one part of at least one step selected from the group consisting of: (i) at least one processing step, (ii) at least one matching step, (iii) at least one comparing step, or (iv) at least one determining step;

(d) a matching step, wherein the identity testing machine matches the observation data or the derived data from at least one second series observation record of one specific tested person with comparable observation data or derived data from at least one first series observation record of one specific known person;

(e) a comparing step, wherein the identity testing machine compares observation data or derived data from at least one second series observation record of one specific tested person with comparable observation data or derived data from at least one first series observation record of one specific known person and provides at least one conclusion from the comparing;

(f) a determining step, wherein the identity testing machine utilizes at least one member selected from the group consisting of:(i) at least one part of at least one conclusion from at least one comparing step,(ii) at least one part of the observation data,(iii) at least one part of the derived data, or(iv) selected useful information;

in the making of at least one identity test determination; or

(g) a reporting step wherein the identity testing machine provides at least one report regarding at least one part of at least one cycle of utilization of the identity testing machine.

In some embodiments the identity testing machine is configurable for utilizing at least one part of the observation data or the derived data from at least one first series observation record of one specific known person as the one specific known person's cyberspace identity or identifiers, wherein the one specific known person's cyberspace identity or identifiers are unique to the one specific known person; and

wherein at least one part of the observation data or the derived data from at least one first series observation record for any other one specific known person is utilizable as the cyberspace identity or identifiers for the any other one specific known person and the cyberspace identity or identifiers are unique to each one specific other known person.

In some embodiments the identity testing machine is configurable for achieving at least one selected attainable percentage of accuracy goal for at least one identity test determination; and

wherein the at least one attainable percentage of accuracy goal falls within a range extending from 0% accuracy up to, and including, 100% accuracy.

In some embodiments the identity testing machine is configurable for utilizing any possible level of observation participation by any one specific tested person or any one specific known person;

wherein the any one specific tested person or the any one specific known person are each one specific identity test sensor observation subject; and

wherein the any possible level of observation participation ranges from the one specific tested person or the one specific known person being sensor observable but not being consciously or otherwise engaged in at least one identity test sensor observation, to the one specific tested person or the one specific known person being an active and consciously engaged participant in at least one identity test sensor observation.

In some embodiments of the identity testing machine at least one sensor observation occurs over at least one period of time and the at least one sensor observation includes at least one observed change that occurs over the at least one period of time to at least one member selected from the group consisting of: (a) at least one observable aspect of the sensor observation, (b) at least one observable aspect of any one specific known person who is one specific first series observation subject, or (c) at least one observable aspect of any one specific tested person who is one specific second series observation subject;

wherein the identity testing machine is configurable for utilizing the at least one observed change that occur over the at least one period of time in the making of at least one identity test determination.

In some embodiments of the identity testing machine one observed change that occurs over at least one period of time includes at least one change to at least one aspect of at least one feature of one specific person, and wherein the at least one feature of the one specific person is selected from the group consisting of the one specific person's: head, face, mouth, eyes, eyebrows, nose, arms, hands, fingers, legs, feet, neck, torso, skin, heart, stomach, intestines, liver, kidneys, lungs, respiration, breath, vascular system, brain, spinal cord, neural system, skeleton, blood, or any other feature of any one specific person selected from the spectrum of features of a people where sensor observable changes occur over time.

In some embodiments of the identity testing machine all or part of the observation data or the derived data from the at least one first series observation record of the one specific known person or the at least one second series observation record of the one specific tested person are included as a part of the spectrum of useful information.

In some embodiments of the identity testing machine the at least one identity test determination includes at least one determination of any indicated percentage of probability that exists of one specific tested person being the same person as one specific known person;

wherein the at least one identity test determination ranges from determining that a 0% probability exists of the one specific tested person being the one specific known person, through determining any intermediate indicated percentage of probability that exists of the one specific tested person being the one specific known person, to determining there is a 100% probability that the one specific tested person absolutely is the one specific known person.

In some embodiments the identity testing machine further includes a repeating step, wherein the identity testing machine selects at least one part of at least one first series observation of one specific known person for repetition by one specific tested subject of at least one identity test sensor observation;

wherein the one specific tested subject of the identity test sensor observation is sensor observed performing the at least one repetition;

wherein the identity testing machine utilizes at least one designation from the repetition observation or assigns at least one designation representing: (a) the at least one sensor observation, (b) the at least one repetition, (c) at least one observable aspect of the one specific tested subject, or (d) at least one characteristic regarding the at least one sensor-observable aspect of the one specific tested subject; and

wherein the identity testing machine includes the at least one designation in at least one second series observation record of the repetition.

In some embodiments the identity testing machine is further configured for searching and utilizing available first series observation records of at least one specific known person until either every selected identity testing machine determination for the one specific tested person has been completed, or there are no further comparable first series observation records to search or utilize.

In some embodiments the identity testing machine utilizes useful information from at least one source other than at least one member selected from the group consisting of: (a) at least one first series observation record of any one specific known person, or (b) at least one second series observation record of any one specific tested person.

In some embodiments the identity testing machine utilizes selected criteria, selected useful information, selected programming, and any other necessary resources for the purpose of making identity test determinations that are utilized, at least in part, to determine whether to grant, or to deny, one specific tested person, who is the one specific tested subject of at least one identity test sensor observation, access to at least one part of at least one resource selected from the group consisting of: (a) the identity testing machine, (b) at least one resource that is being utilized by the identity testing machine, or (c) at least one resource that is utilizing the identity testing machine.

In some embodiments the identity testing machine manipulates, in any way possible, at least one operation of at least one member selected from the group consisting of: (a) resources that are being utilized by the identity testing machine, or (b) the identity testing machine itself;

wherein the manipulating provides the identity testing machine with selection of possible utilizations;

wherein the manipulating is utilized for at least one purpose;

wherein the at least one purpose for utilizing the manipulating includes aiding in achieving at least one selected identity test determination goal.

In some embodiments the identity testing machine further includes identity testing machine history, wherein the history includes at least one history record of or from the operations of the identity testing machine.

In some embodiments of the identity testing machine at least one part of at least one observation record for one specific known person that was derived from at least one source other than at least one first series observation step is included as at least one part of at least one first series observation record for the one specific known person.

In some embodiments of the identity testing machine at least one part of at least one observation record for one specific tested person that was derived from at least one source other than at least one second series observation step is included as at least one part of at least one second series observation record for the one specific tested person.

In some embodiments of the identity testing machine the operations of the identity testing machine, or any part thereof, are performed in any useable order.

In some embodiments the identity testing machine includes at least one standard identity testing machine designation representing at least one part of at least one aspect of at least one operation of the identity testing machine.

In some embodiments the identity testing machine is configurable: (a) for being utilized for at least one purpose in addition to being utilized as an identity testing machine, (b) for being utilized as one or more types of devices in addition to being utilized as an identity testing machine device, (c) as a single self-contained identity testing machine, (d) to include utilization of more than one interconnected resource, (e) for being utilized as an integral or remote resource of a device or system, (f) for utilizing all or part of the resources of at least one other device or system, (g) as a virtual device or a physical device or a combination thereof, (h) for being a stationary device or a mobile device or a combination thereof, (i) for being utilized by one or more devices that are located in one or more locations, (j) for utilizing resources that are interconnected in any way, or (k) any combination thereof.

In another aspect is a scalable, configurable, universal, complete spectrum identity testing machine,

wherein the identity testing machine is comprised of at least one computing device and the at least one computing device utilizes: criteria that may be utilized by the identity testing machine, selected useful information, and any necessary programming or resources in the making of at least one identity test determination;wherein the identity testing machine utilizes all or part of the resources of the at least one computing device;

wherein the at least one computing device is configurable for being utilized for at least one purpose in addition to being utilized as an identity testing machine;

wherein the at least one additional purpose is selected from the spectrum of additional purposes for which computing devices of identity testing machines may be utilized;

wherein the identity testing machine makes identity test determination selected from the group consisting of: (i) one-time single event identity test determinations, (ii) intermittently made identity test determinations, or (iii) constantly made identity test determinations;

wherein the identity testing machine utilizes useful information from at least one point in time or from over at least one period of time;

wherein the useful information is from a spectrum of information that includes at least one observed characteristic of one specific person who is one specific subject of at least one identity test sensor observation;

wherein the at least one identity test sensor observation is a type of sensor observation selected from the group consisting of: (a) visual sensor observations, (b) audible sensor observations, (c) thermal sensor observations, (d) olfactory sensor observations, (e) tactile sensor observations, (f) chemical sensor observations, or (g) any other type of sensor observations that may be utilized be the identity testing machine;

wherein at least one identity test determination is utilized for at least one purpose selected from the spectrum of purposes for which identity test determinations may be utilized;

wherein the identity testing machine is further comprised of utilizing at least one part of at least one step selected from the group consisting of:

(a) a first series observation step utilizing at least one sensor observation;

wherein at least specific known person who is one specific subject of at least one sensor observation has at least one sensor observable aspect;

wherein the identity testing machine recognizes at least one characteristic regarding at least one observed aspect;

wherein the at least one recognized characteristic is utilizable by the identity testing machine in the making of at least one identity test determination;

wherein the identity testing machine utilizes at least one designation from the at least one sensor observation or assigns at least one designation representing at least one member selected from the group consisting of: (i) the at least one sensor observation, (ii) the at least one observed aspect of the one specific known person, or (iii) the at least one recognized characteristic;

wherein the identity testing machine includes at least one of the designations, as data, in at least one first series observation record of the one specific known person;

(b) a second series observation step utilizing at least one sensor observation;

wherein one specific tested person who is one specific tested subject of at least one sensor observation has at least one sensor observable aspect;

wherein the identity testing machine recognizes at least one characteristic regarding at least one observed aspect;

wherein the at least one recognized characteristic is utilizable by the identity testing machine in the making of at least one identity test determination;

wherein, the identity testing machine utilizes at least one designation from the at least one sensor observation or assigns at least one designation representing: (i) the at least one sensor observation, (ii) the at least one observed aspect regarding the one specific tested person, or (iii) the at least one characteristic regarding the at least one aspect;

wherein the identity testing machine includes at least one of the designations, as data, in at least one second series observation record of the one specific tested person;

(c) a processing step, wherein at least one designation from the at least one first series observation record or at least one designation from the at least one second series observation record are stored or utilized as data;

wherein at least one part of the observation data or at least one part of any derived data may be processed in at least one way;

wherein the at least one way is selected from the spectrum of ways that observation data or derived data may be processed for utilization by the identity testing machine;

wherein the processing of the observation data or the derived data results in the creation of derived data;

wherein the observation data or the derived data are utilizable for at least one purpose selected from the spectrum of purposes that observation data or derived data may be utilized;

wherein the at least one purpose includes being utilized by the identity testing machine in the making of at least one identity test determination;

wherein at least one part of the observation data or the derived data is included as at least one part of the useful information;

and wherein at least one part of the observation data or the derived data is utilized by the identity testing machine during at least one part of at least one step selected from the group consisting of: (i) at least one processing step, (ii) at least one matching step, (iii) at least one comparing step, or (iv) at least one determining step;

(d) a matching step matching observation data or derived data regarding one specific tested person who is one specific tested subject of at least one second series observation with comparable observation data or derived data from at least one first series observation record of one specific known person;

(e) a comparing step comparing observation data or derived data from at least one second series observation record of one specific tested person with observation data or derived data from at least one comparable first series observation record of one specific known person, and providing at least one conclusion from the comparing;

(f) a determining step, wherein the identity testing machine utilizes at least one member selected from the group consisting of: (i) at least one conclusion from the at least one comparing step, (ii) observation data or derived data from the first series observation records of one specific known person and observation data or derived data from the second series observation records of the one specific tested person, or (iii) useful information, in the making of at least one identity test determination; or

(g) a reporting step making at least one selected report regarding or utilizing at least one part of at least one cycle of utilization of the identity testing machine.

In yet another aspect is a machine for performing at least one identity test on at least one person who is a subject of an identity test sensor observation,

wherein the identity testing machine is comprised of at least one computing device,

wherein the at least one computing device utilizes: (a) at least one sensor, (b) criteria selected from the spectrum of criteria that may be utilized by the identity testing machine, (c) selected useful information, (d) selected necessary programming, and (e) any other necessary resource, all of which are configured and utilized for the performing of at least one identity test on at least one tested person who is a subject of a second series identity test sensor observation;

wherein the identity testing machine utilizes all or part of the resources of the at least one computing device;

wherein the identity testing machine is configurable for utilizing the at least one computing device for at least one purpose in addition to the purpose of utilizing the at least one computing device as an identity testing machine;

wherein the at least one additional purpose is selected from the spectrum of additional purposes for which computing devices of identity testing machines may be utilized;

wherein the at least one identity test is selected from the spectrum of identity tests that use sensor observations in the making of identity test determinations regarding any one specific tested person;

wherein the at least one specific tested person is selected from the group consisting of the spectrum of people who are tested subjects of identity test sensor observations;

wherein the any other necessary resources are selected from the spectrum of other resources that may be necessary for the identity testing machine to utilize;

wherein the identity testing machine is utilizable under at least one identity test circumstance selected from the spectrum of identity test circumstances;

wherein the identity testing machine is utilizable for at least one purpose selected from the spectrum of purposes for which identity testing machines may be utilized;

wherein the necessary programming is selected from the spectrum of programming that may be necessary for the identity testing machine to utilize;

wherein the identity testing machine utilizes useful information from at least one point in time or from over at least one period of time;

wherein the useful information is selected from the spectrum of information that may be utilized by the identity testing machine;

wherein the spectrum of useful information includes information that was from, or was derived from, at least one sensor observation;

wherein the at least one sensor observation provides useful information regarding at least one aspect of: (a) the at least one sensor observation, (b) one specific known person, or (c) one specific tested person;

wherein the one specific known person or the one specific tested person are each one specific subject of at least one identity test sensor observation;

wherein at least one identity test determination regarding one specific tested person is selected from the spectrum of identity test determinations regarding any one specific tested person;

wherein the at least one aspect of the one specific known person or the one specific tested person is selected from the spectrum of sensor observable aspects of people who are subjects of identity test sensor observations;

wherein the identity testing machine utilizes at least one observed characteristic of the at least one aspect of the one specific known person, or the one specific tested person in the making of at least one identity test determination;

wherein the at least one observed characteristic is selected from the spectrum of sensor observable characteristics of people who are subjects of identity test sensor observations;

wherein the identity testing machine utilizes at least one type of sensor observation selected from the group consisting of: (a) visual sensor observations, (b) audible sensor observations, (c) thermal sensor observations, (d) olfactory sensor observations, (e) tactile sensor observations, (0chemical sensor observations, or (g) any other types of sensor observations that may be utilized by the identity testing machine;

wherein at least one sensor observation has at least one characteristic that is utilizable by the identity testing machine;

wherein the at least one characteristic is selected from the spectrum of characteristics of sensor observations that may be utilized by the identity testing machine;

wherein the identity testing machine is scalable in regard to included necessary resources;

wherein the identity testing machine's included necessary resources fall at one point in a range of from a minimum to a maximum;

wherein at the minimum the identity testing machine includes only the resources that are necessary for providing for the least complex, in regard to included necessary resources, of all identity testing machine needs for resources; and

wherein at the maximum the identity testing machine includes all of the resources that are needed to provide for the most complex, in regard to included necessary resources, of all identity testing machine needs for resources;

wherein the identity testing machine is configurable for determining or utilizing at least one measure of adequacy of available resources;

wherein the identity testing machine is configurable for determining or utilizing at least one measure of adequacy of available useful information;

wherein the identity testing machine is configurable for determining or utilizing at least one measure of accuracy for at least one identity test determination;

wherein the identity testing machine makes at least one type of identity test determination selected from the group consisting of: (a) one-time single event identity test determinations, (b) intermittently made identity test determinations, or (c) constantly made identity test determinations;

regarding any one specific tested person;

wherein the identity testing machine is configurable for testing or verifying the identity of any one specific tested person in real time or at any time thereafter; and

wherein the identity testing machine is further configured for utilizing at least one part of at least one step selected from the group consisting of:

(a) a first series observation step, wherein the identity testing machine utilizes at least one sensor observation;

wherein one specific known person is one specific subject of the at least one sensor observation;

wherein the one specific known person has at least one specific sensor observable aspect;

wherein the identity testing machine recognizes at least one characteristic regarding the at least one specific aspect;

wherein the at least one recognized characteristic is utilizable by the identity testing machine in the making of at least one identity test determination regarding the one specific known person;

wherein the identity testing machine utilizes at least one designation from the at least one sensor observation or assigns at least one designation representing:(i) the at least one sensor observation,(ii) the at least one sensor observed aspect of the one specific known person, or(iii) the at least one sensor observed characteristic regarding the at least one specific observed aspect;

wherein the identity testing machine includes the at least one designation, as data, in at least one first series observation record of the one specific known person;

(b) a second series observation step, wherein the identity testing machine utilizes at least one sensor observation;

wherein one specific tested person is one specific subject of the at least one sensor observation;

wherein the one specific tested person has at least one specific sensor observable aspect;

wherein the identity testing machine recognizes at least one characteristic regarding the at least one specific aspect;

wherein the at least one recognized characteristic is utilizable by the identity testing machine in the making of at least one identity test determination regarding the one specific tested person;

wherein the identity testing machine utilizes at least one designation from the at least one sensor observation or assigns at least one designation representing:(i) the at least one sensor observation,(ii) the at least one sensor observed aspect of the one specific tested person, or(iii) the at least one characteristic regarding the at least one sensor observed aspect;

wherein the identity testing machine includes the at least one designation, as data, in at least one second series observation record of the one specific tested person;

(c) a processing step, wherein derived data or at least one part of the data representing at least one designation from the at least one first series observation step or the at least one second series observation step is processed in at least one way;

wherein the at least one way is selected from the spectrum of ways derived data or observation data from first series observation steps or second series observation steps may be processed for utilization by the identity testing machine;

wherein the processing of the observation data or the derived data results in the creation of derived data;

wherein the observation data or the derived data is utilizable for at least one purpose selected from the spectrum of purposes that observation data or derived data may be utilized by the identity testing machine;

wherein the at least one purpose includes utilization of the observation data or the derived data by the identity testing machine in the making of at least one identity test determination regarding any one specific tested person;

wherein at least one part of the observation data or the derived data may be utilized by the identity testing machine in at least one part of at least one step selected from the group consisting of: (i) at least one processing step, (ii) at least one matching step, (iii) at least one comparing step, or (iv) at least one determining step;

(d) a matching step, wherein the identity testing machine matches observation data or derived data from at least one second series observation record of one specific tested person with comparable observation data or derived data from at least one first series observation record of one specific known person;

(e) a comparing step, wherein the identity testing machine compares observation data or derived data from at least one second series observation record of one specific tested person with comparable observation data or derived data from at least one first series observation record of one specific known person and provides at least one conclusion from the comparing;

(f) a determining step, wherein the identity testing machine utilizes at least one member selected from the group consisting of:(i) at least one part of at least one conclusion from at least one comparing step,(ii) at least one part of the observation data,(iii) at least one part of the derived data, or(iv) selected useful information;
in the making of at least one identity test determination; or(g) a reporting step, wherein the identity testing machine makes at least one report regarding at least one part of at least one cycle of utilization of the identity testing machine.

