Identifying and generating biometric cohorts based on biometric sensor input
First Claim
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1. A computer implemented method for generating a biometric cohort, the computer implemented method comprising:
- receiving biometric data identifying a set of biometric patterns, wherein the biometric patterns represent a common physiological reaction to a same stimulus by a group of monitored subjects that have a heart rate within a particular range and a specific body shape, wherein the biometric data is received from a set of biometric sensors, wherein the biometric sensors include an image capture device, an audio capture device, an odor detection device, a heart monitor, a blood pressure monitor, a thermometer for measuring body temperature, a fingerprint scanner, a thumbprint scanner, a palm scanner, a retinal scanner, an iris scanner, a breathalyzer, a microphone capable of detecting a heart beat and breath sounds, a respiratory monitor, a fetal heart monitor, and a blood sugar monitor;
processing the biometric data to form digital biometric data, wherein the digital biometric data identifies attributes of the biometric data, wherein the digital biometric data includes metadata describing a set of attributes for one or more monitored subjects, wherein the set of attributes includes behavioral attributes, wherein the digital biometric data further includes a context comprising a time, date and type of location at which the biometric data was collected, wherein biometric data collected from a monitored subject at a first time, date and type of location differs from biometric data collected from the monitored subject at a different second time, data and location; and
generating a biometric cohort using the digital biometric data, wherein each member of the biometric cohort shares at least one biometric attribute in common.
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Abstract
Biometric data, which identifies a set of biometric patterns, is received from a set of biometric sensors. The biometric data is processed to form digital biometric data that identifies attributes of the biometric data. Thereafter, a biometric cohort is generated using the digital biometric data. Each member of the set of biometric cohorts shares at least one biometric attribute in common.
136 Citations
20 Claims
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1. A computer implemented method for generating a biometric cohort, the computer implemented method comprising:
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receiving biometric data identifying a set of biometric patterns, wherein the biometric patterns represent a common physiological reaction to a same stimulus by a group of monitored subjects that have a heart rate within a particular range and a specific body shape, wherein the biometric data is received from a set of biometric sensors, wherein the biometric sensors include an image capture device, an audio capture device, an odor detection device, a heart monitor, a blood pressure monitor, a thermometer for measuring body temperature, a fingerprint scanner, a thumbprint scanner, a palm scanner, a retinal scanner, an iris scanner, a breathalyzer, a microphone capable of detecting a heart beat and breath sounds, a respiratory monitor, a fetal heart monitor, and a blood sugar monitor; processing the biometric data to form digital biometric data, wherein the digital biometric data identifies attributes of the biometric data, wherein the digital biometric data includes metadata describing a set of attributes for one or more monitored subjects, wherein the set of attributes includes behavioral attributes, wherein the digital biometric data further includes a context comprising a time, date and type of location at which the biometric data was collected, wherein biometric data collected from a monitored subject at a first time, date and type of location differs from biometric data collected from the monitored subject at a different second time, data and location; and generating a biometric cohort using the digital biometric data, wherein each member of the biometric cohort shares at least one biometric attribute in common. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer program product for generating a biometric cohort, the computer program product comprising:
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a non-transitory computer readable storage device; first program instructions to receive biometric data identifying a set of biometric patterns, wherein the biometric patterns represent a common physiological reaction to a same stimulus by a group of monitored subjects that have a heart rate within a particular range and a specific body shape, wherein the biometric data is received from a set of biometric sensors, wherein the biometric sensors include an image capture device, an audio capture device, an odor detection device, a heart monitor, a blood pressure monitor, a thermometer for measuring body temperature, a fingerprint scanner, a thumbprint scanner, a palm scanner, a retinal scanner, an iris scanner, a breathalyzer, a microphone capable of detecting a heart beat and breath sounds, a respiratory monitor, a fetal heart monitor, and a blood sugar monitor; second program instructions to process the biometric data to form digital biometric data, wherein the digital biometric data identifies attributes of the biometric data, wherein the digital biometric data includes metadata describing a set of attributes for one or more monitored subjects, wherein the set of attributes includes behavioral attributes, wherein the digital biometric data further includes a context comprising a time, date and type of location at which the biometric data was collected, wherein biometric data collected from a monitored subject at a first time, date and type of location differs from biometric data collected from the monitored subject at a different second time, data and location; third program instructions to generate a biometric cohort using the digital biometric data, wherein each member of the biometric cohort is a place that is populated with a form of living organism that shares at least one biometric attribute in common; and wherein the first program instructions, the second program instructions, and the third program instructions are stored on the non-transitory computer readable storage device. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A system for generating biometric cohorts, the system comprising:
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a set of biometric sensors, wherein the set of biometric sensors captures biometric data, and wherein the biometric data comprises a set of biometric patterns, wherein the biometric patterns represent a common physiological reaction to a same stimulus by a group of persons that have a heart rate within a particular range and a specific body shape, and wherein the biometric sensors include an image capture device, an audio capture device, an odor detection device, a heart monitor, a blood pressure monitor, a thermometer for measuring body temperature, a fingerprint scanner, a thumbprint scanner, a palm scanner, a retinal scanner, an iris scanner, a breathalyzer, a microphone capable of detecting a heart beat and breath sounds, a respiratory monitor, a fetal heart monitor, and a blood sugar monitor; a biometric pattern processing engine, wherein the biometric pattern processing engine utilizes a processor to form digital biometric data from the biometric data, wherein the digital biometric data includes metadata describing a set of attributes for one or more monitored subjects, wherein the set of attributes includes behavioral attributes, wherein the digital biometric data further includes a context comprising a time, date and location at which the biometric data was collected, wherein biometric data collected from a monitored subject at a first time, date and type of location differs from biometric data collected from the monitored subject at a different second time, data and location; and a cohort generation engine, wherein the cohort generation engine utilizes a processor to generate a biometric cohort from the digital biometric data by use of the digital biometric data, wherein all of the members of the biometric cohort share at least one biometric attribute in common. - View Dependent Claims (18, 19, 20)
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Specification