US 12,169,470 B2
Computer systems and processes configured to identify behavioral, action, activity, and/or emotional states of a person, by analyzing empirical data received from observations of the person, and to autonomously respond to the identity of the states
Andrew L. DiRienzo, Elizaville, NY (US)
Assigned to Airedites, LLC, Elizaville, NY (US)
Filed by AIREDITES, LLC, Elizaville, NY (US)
Filed on Dec. 22, 2023, as Appl. No. 18/393,985.
Application 18/393,985 is a continuation of application No. 18/131,425, filed on Apr. 6, 2023, granted, now 11,921,669.
Application 18/131,425 is a continuation of application No. 17/525,009, filed on Nov. 12, 2021, granted, now 11,663,158, issued on May 30, 2023.
Application 17/525,009 is a continuation of application No. 16/800,364, filed on Feb. 25, 2020, granted, now 11,216,410, issued on Jan. 4, 2022.
Application 16/800,364 is a continuation of application No. 15/411,028, filed on Jan. 20, 2017, granted, now 10,614,029, issued on Apr. 7, 2020.
Application 15/411,028 is a continuation of application No. 14/034,231, filed on Sep. 23, 2013, granted, now 9,607,025, issued on Mar. 28, 2017.
Claims priority of provisional application 61/744,394, filed on Sep. 24, 2012.
Prior Publication US 2024/0134820 A1, Apr. 25, 2024
Int. Cl. G06F 16/11 (2019.01); G06F 16/21 (2019.01); G06F 16/22 (2019.01); G06F 16/2455 (2019.01); G06F 21/60 (2013.01); G06Q 30/02 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0251 (2023.01); G06Q 50/00 (2024.01)
CPC G06F 16/113 (2019.01) [G06F 16/21 (2019.01); G06F 16/22 (2019.01); G06F 16/24553 (2019.01); G06F 21/604 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0269 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer system, comprising
a communication unit;
wherein the communication unit is configured
to receive instances of empirical data from one or more digital devices that are associated with a particular person;
wherein at least some of the received instances of empirical data are gathered from at least one of
 ambient observations of the particular person by the one or more digital devices; and
 interactions between the computer system and the particular person;
wherein at least some of the received empirical data comprises at least one of sound data and image data; and
wherein each received instance of empirical data comprises one or more portions of data; and
to transmit digital messages to at least one of the digital devices of the one or more digital devices;
wherein at least some of the digital messages transmitted are transmitted autonomously; and
a processing unit;
a storage unit;
wherein the storage unit comprises at least
an assemblage of data comprising a plurality of key items,
wherein each key item of the plurality of key items is an item having a data type corresponding to a data type of a portion of data of an instance of empirical data to be received by the communication unit,
wherein a particular key item of the plurality of key items has at least one associated family of items comprising a particular associated family of items of the at least one associated family of items that is associated to the particular key item by relevance to a particular property selected from a group of properties consisting of types of behaviors, types of actions, types of activities, and types of emotions (TypesBAAE), such that every item in the particular associated family of items, when paired with the particular key item, forms a pair that is relevant to the particular property; and
an archive unit;
wherein the archive unit is configured to store instances of empirical data gathered from the one or more digital devices; and
wherein the archive unit is further configured to store at least one type of information for the particular person selected from a group consisting of:
correlated instances of empirical data that have been previously identified;
results of analyses of correlated instances of empirical data that have been previously identified; and
instances of states of the particular person that have been previously identified,
wherein states of the particular person are each characterized by at least one property selected from the group of properties consisting of TypesBAAE, and
wherein a particular state of the particular person is characterized by at least the particular property;
wherein the computer system is configured by software to perform a process of correlating instances of empirical data to identify an instance of the particular state of the particular person, the process comprising:
receiving a first instance of empirical data (EDA) associated with the particular person from a digital device of the one or more digital devices;
receiving, from the archive unit, a second instance of empirical data (EDB) of the stored instances of empirical data gathered from the one or more digital devices;
identifying the portions of data in EDA and in EDB;
in response to an identified portion of data (PA μ) of EDA matching the particular key item, searching for a match between a member of the particular associated family of items and an identified portion of data (PBv) of EDB;
correlating EDA with EDB as being potentially relevant to each other vis-à-vis the particular property in response to PA μ of EDA matching the particular key item and PBv of EDB matching a member of the particular associated family of items;
in response to correlating EDA with EDB as being potentially relevant to each other vis-à-vis the particular property, analyzing the correlated instances of empirical data, EDA and EDB, to determine if they identify an instance of the particular property, and thereby identify an instance of the particular state of the particular person;
wherein determining that the correlated instances of empirical data, EDA and EDB, identify an instance of the particular property, and thereby identify an instance of the particular state comprises determining if the correlated instances of empirical data, EDA and EDB, are pairwise relevant to each other vis-à-vis the particular property,
wherein pairwise relevance of EDA to EDB vis-à-vis the particular property is determined by comparing PA μ of EDA to PBv of EDB for a particular relationship;
 wherein the particular relationship is one member selected from a group consisting of consistency and inconsistency; and
 wherein the correlated instances of empirical data, EDA and EDB, are identified as an instance of the particular property, and thereby are identified as an instance of the particular state in response to analysis determining that PA μ of EDA and PBv of EDB have the particular relationship;
in response to determining that the correlated instances of empirical data, EDA and EDB, identify an instance of the particular state of the particular person, autonomously transmitting a particular digital message to the particular person in response to the instance of the particular state of the particular person that has been identified, and
archiving, in the archive unit, at least one type of information selected from a group consisting of:
the correlated instances of empirical data, EDA and EDB,
the particular state,
the identified instance of the particular state, and
the results of the analysis of EDA and EDB.