Detecting behavioral deviations by measuring respiratory patterns in cohort groups
First Claim
1. A computer implemented method for detecting behavioral deviations in members of a cohort group, the computer implemented method comprising:
- identifying a member of the cohort group, wherein each member of the cohort group shares a common characteristic, and wherein the member is described using identification data, and further wherein the identification data includes;
action data regarding the member'"'"'s use of a web page, and device data regarding a computing device having a user interface and used by the member to interact with a data processing system associated with a transportation facility;
retrieving respiratory metadata in real-time as the respiratory metadata is generated, wherein the respiratory metadata is associated with the member of the cohort group, wherein the respiratory metadata describes respiration associated with the member of the cohort group;
identify patterns of respiratory changes using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes;
responsive to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest;
analyzing audio data to identify human voices and phonetics of human speech to identify a voice print of the member of the cohort group, wherein the audio data describes non-respiratory characteristics of the member of the cohort group;
comparing the voice print of the member of the cohort group to each voice print included in a group of known voice prints to locate one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group; and
using the one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group to identify the member of the coherent group, wherein the action data includes page hits, sequence of hits, duration of page views, response to advertisements, and transactions made.
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Abstract
A computer implemented method, apparatus, and computer usable program code for detecting behavioral deviations in members of a cohort group. In one embodiment, a member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Respiratory metadata associated with the member of the cohort group is received in real-time as the respiratory metadata is generated. The respiratory metadata describes respiration associated with the member of the cohort group. Patterns of respiratory changes are identified using the respiratory metadata. The respiratory metadata is analyzed to identify the patterns of respiratory changes. In response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest.
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Citations
15 Claims
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1. A computer implemented method for detecting behavioral deviations in members of a cohort group, the computer implemented method comprising:
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identifying a member of the cohort group, wherein each member of the cohort group shares a common characteristic, and wherein the member is described using identification data, and further wherein the identification data includes;
action data regarding the member'"'"'s use of a web page, and device data regarding a computing device having a user interface and used by the member to interact with a data processing system associated with a transportation facility;retrieving respiratory metadata in real-time as the respiratory metadata is generated, wherein the respiratory metadata is associated with the member of the cohort group, wherein the respiratory metadata describes respiration associated with the member of the cohort group; identify patterns of respiratory changes using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; responsive to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, identifying the member of the cohort group as a person of interest; analyzing audio data to identify human voices and phonetics of human speech to identify a voice print of the member of the cohort group, wherein the audio data describes non-respiratory characteristics of the member of the cohort group; comparing the voice print of the member of the cohort group to each voice print included in a group of known voice prints to locate one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group; and using the one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group to identify the member of the coherent group, wherein the action data includes page hits, sequence of hits, duration of page views, response to advertisements, and transactions made. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product stored on a non-transistor computer-readable medium for detecting behavioral deviations in members of a cohort group, the computer program product comprising:
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program code stored on the computer readable medium for identifying a member of the cohort group, wherein each member of the cohort group shares a common characteristic, and wherein the member is described using identification data, and further wherein the identification data includes;
action data regarding the member'"'"'s use of a web page, and device data regarding a computing device having a user interface and used by the member to interact with a data processing system associated with a transportation facility;program code stored on the computer readable medium for retrieving respiratory metadata associated with the member of the cohort group in real-time as the respiratory metadata is generated, wherein the respiratory metadata describes respiration associated with the member of the cohort group; program code stored on the computer readable medium for identifying patterns of respiratory changes using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; program code stored on the computer readable medium for identifying the member of the cohort group as a person of interest in response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group; program code stored on the computer readable medium for analyzing audio data to identify human voices and phonetics of human speech to identify a voice print of the member of the cohort group, wherein the audio data describes non-respiratory characteristics of the member of the cohort group; program code stored on the computer readable medium for comparing the voice print of the member of the cohort group to each voice print included in a group of known voice prints to locate one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group; and program code stored on the computer readable medium for using the one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group to identify the member of the coherent group, wherein the action data includes page hits, sequence of hits, duration of page views, response to advertisements, and transactions made. - View Dependent Claims (11)
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12. An apparatus for detecting behavioral deviations in members of a cohort group, the apparatus comprising:
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an analysis server, wherein the analysis server identifies a member of the cohort group based on data associated with the member of the cohort group gathered in real time, and wherein each member of the cohort group shares a common characteristic, and wherein the member is described using identification data, and further wherein the identification data includes;
action data regarding the member'"'"'s use of a web page, and device data regarding a computing device having a user interface and used by the member to interact with a data processing system associated with a transportation facility;a video analysis system, wherein the video analysis system generates respiratory metadata associated with the member of the cohort group in real-time, wherein the respiratory metadata describes respiration by the member of the cohort group; a respiratory pattern recognition engine, wherein the respiratory pattern recognition engine identifies patterns of respiratory changes associated with the respiration by the member of the cohort group using the respiratory metadata, wherein the respiratory metadata is analyzed to identify the patterns of respiratory changes; a person of interest identification engine, wherein the person of interest identification engine identifies the member of the cohort group as a person of interest in response to the patterns of respiratory changes indicating behavioral deviations by the member of the cohort group; a computer analyzing audio data to identify human voices and phonetics of human speech to identify a voice print of the member of the cohort group, wherein the audio data describes non-respiratory characteristics of the member of the cohort group; the computer comparing the voice print of the member of the cohort group to each voice print included in a group of known voice prints to locate one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group; and the computer using the one of the voice prints included in the group of known voice prints that matches the voice print of the member of the cohort group to identify the member of the coherent group, wherein the action data includes page hits, sequence of hits, duration of page views, response to advertisements, and transactions made. - View Dependent Claims (13, 14, 15)
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Specification