# US 10,372,889 B2 · Event characteristic analysis for event input discrimination > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,372,889 B2 - Document ID: US10372889B2 - Status: Granted - Kind: B2 - Application number: 15/048,775 - Filed: 2016-02-19 - Published: 2017-08-24 - Granted: 2019-08-06 - Earliest claimed: 2016-02-19 - Assignees: AT&T Mobility II LLC - Applicants: AT&T Mobility II LLC - Inventors: Ginger Li Chien - Web page: https://patentgrep.com/patent/US10372889B2 ## CPC - G06F 21/32: using biometric data, e.g. fingerprints, iris scans or voiceprints - G06F 21/6218: {to a system of files or objects, e.g. local or distributed file system or database} - H04L 9/32: including means for verifying the identity or authority of a user of the system {or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials} - G06F 21/64: Protecting data integrity, e.g. using checksums, certificates or signatures - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract Determining a level of congruence between modality-event characteristics is disclosed. Information can be collected from an event input source via one or more information collection modalities. Modality-event characteristics can be determined from this information. A level of congruence between the modality-event characteristics can be determined to enable initiating a response based on the level of congruence. The level of congruence can be based on satisfying a rule related to congruence between modality-event characteristics, user profile information, etc. The level of congruence can be related to a probability that the several inputs collected for an event, collected by a plurality of modalities, embody characteristics that are associated with the event occurring according to determined notions embodied in the rule and profile. Determining the level of congruence can support assertions that each input, across differing modes of capturing said input, accords with the expected inputs for an event. ## Claims ### Claim 1 A device, comprising: a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: receiving modality-event characteristic data comprising: first information related to a first modality-event characteristic of a first input purportedly captured with a first type of modality and associated with an input event source, and second information related to a second modality-event characteristic of a second input captured with a second type of modality and associated with the input event source; determining a first level of congruence between the first modality-event characteristic and the second modality-event characteristic of the modality-event characteristic data, wherein the first level of congruence corresponds to a level of confidence that the first input purportedly captured with the first type of modality has actually occurred via the first type of modality based on the second input being captured via the second type of modality being determined to be congruent with the first input being captured via the first type of modality; and altering a validation of the first input based on the first level of congruence, wherein a use of the first input is predicated on the validation. ### Claim 2 (depends on 1) The device of claim 1, wherein the first modality-event characteristic is associated with video input data relating to the input event source and purportedly captured with a video type modality proximate to the input event source. ### Claim 3 (depends on 2) The device of claim 2, wherein the first modality-event characteristic is further associated with facial recognition input data relating to the video input data. ### Claim 4 (depends on 1) The device of claim 1, wherein the first modality-event characteristic is associated with audio input data relating to the input event source and purportedly captured with an audio type modality proximate to the input event source. ### Claim 5 (depends on 4) The device of claim 4, wherein the first modality-event characteristic is further associated with vocal analysis input data relating to the audio input data. ### Claim 6 (depends on 1) The device of claim 1, wherein the first modality-event characteristic is associated with electromagnetic radiation input data relating to the input event source and purportedly captured with an electromagnetic detection type modality proximate to the input event source. ### Claim 7 (depends on 1) The device of claim 1, wherein the first modality-event characteristic is associated with image input data relating to the input event source and purportedly captured with an imaging type modality proximate to the input event source. ### Claim 8 (depends on 1) The device of claim 1, wherein the first modality-event characteristic is associated with motion input data relating to the input event source and purportedly captured with a motion detection type modality proximate to the input event source. ### Claim 9 (depends on 1) The device of claim 1, wherein the first modality-event characteristic is associated with biometric recognition data relating to the input event source and purportedly captured with a biometric detection type modality proximate to the input event source. ### Claim 10 (depends on 1) The device of claim 1, wherein the determining the first level of congruence between modality-event characteristics of the modality-event characteristic data comprises determining a rule relating to selecting the first modality-event characteristic has been satisfied. ### Claim 11 (depends on 1) The device of claim 1, wherein the determining the first level of congruence between modality-event characteristics of the modality-event characteristic data comprises determining a rule relating to profile information of a profile associated with a user identity has been satisfied. ### Claim 12 (depends on 1) The device of claim 1, wherein the first type of modality and the second type of modality are different types of modalities. ### Claim 13 (depends on 1) The device of claim 1, wherein: the modality-event characteristic data further comprises third information related to a third modality-event characteristic of a third input captured with a third type of modality and associated with the input event source, and the determining the first level of congruence is based on the modality-event characteristic data comprising the first information, second information, and third information related. ### Claim 14 (depends on 1) The device of claim 1, wherein the initiating the response comprises initiating an alert. ### Claim 15 (depends on 1) The device of claim 1, wherein the initiating the response comprises initiating a rejection of an input associated with the first modality-event characteristic. ### Claim 16 A method, comprising: receiving, by a system comprising a processor, first modality-event characteristic data comprising first information related to a first modality-event characteristic of a first input that is indicated as being captured with a first type of modality and associated with an input event source; receiving, by the system, second modality-event characteristic data comprising second information related to a second modality-event characteristic of a second input captured with a second type of modality and associated with the input event source; determining, by the system, a level of congruence between modality-event characteristics embodied in the first modality-event characteristic data and second modality-event characteristic data, wherein the determining is based on determining that a first rule related to the congruence between the modality-event characteristics is satisfied, and wherein the level of congruence reflects that the first input has been verifiably captured with the first type of modality based on the second input captured with the second type of modality being determined to be congruent with the first input being captured by the first type of modality; and in response to determining that a second rule relating to profile information of a profile associated with a user identity is satisfied, enabling, by the system, use of the first input by a device based on the level of congruence. ### Claim 17 (depends on 16) The method of claim 16, wherein the first type of modality and the second type of modality are different. ### Claim 18 (depends on 16) The method of claim 16, wherein the first type of modality and the second type of modality are a same type of modality. ### Claim 19 A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising: receiving modality-event characteristic data comprising information related to modality-event characteristics that correspond to inputs from an input event source, wherein the inputs are assumed to be captured via respective types of modalities and are associated with the input event source; determining a level of congruence between the modality-event characteristics embodied in the modality-event characteristic data based on determining that a first rule related to congruence between modality-event characteristics is satisfied, wherein the congruence is associated with the inputs truly being received via the assumed respective types of modalities; and initiating use of the inputs from the input event source by a device based on the level of congruence. ### Claim 20 (depends on 19) The non-transitory machine-readable storage medium of claim 19, wherein the initiating the response comprises initiating a rejection of an input associated with a modality-event characteristic of the modality-event characteristics.