LIFEOTYPES
The present invention provides a method and a system for assembling data from at least one data source into at least one life bit, assembling the at least one life bit into at least one life byte, and defining a lifeotype based on the attributes of at least one life byte.
1 . A method, comprising:
assembling data from at least one data source into at least one life bit;
assembling the at least one life bit into at least one life byte; and
defining a lifeotype based on the attributes of at least one life byte.
2 . The method of claim 1 , wherein the data sources include sensed health data, residence data, medical records and survey data.
3 . The method of claim 1 , wherein the life byte consists of four life bits, with one bit consisting of each of sensed health data, residence data, medical records and survey data.
4 - 5 . (canceled)
6 . The method of claim 1 , wherein the lifeotype is defined based on analysis of correlation between attributes of a life byte and other information about a population of individuals.
7 - 14 . (canceled)
15 . The method of claim 1 , wherein more than one life byte is organized into a life byte sequence.
16 . The method of claim 1 , wherein the at least one data source is a body monitor including at least one sensor.
17 . The method of claim 1 , wherein the data is selected from the group consisting of: physiological data, contextual data and environmental data.
18 . The method of claim 1 , wherein the data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
19 . The method of claim 1 , wherein the data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
20 - 455 . (canceled)
456 . The method of claim 1 , wherein the data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
457 . (canceled)
458 . The method of claim 1 , wherein the data is derived data generated by a processor from a first wearable sensor generating data indicative of at least one of a first physiological, first contextual and first environmental parameter of an individual and a second wearable sensor generating data indicative of at least one of a second physiological, second contextual and second environmental parameter of said individual, wherein the derived data is a status parameter that cannot be directly measured with any of said first and second sensors alone.
459 - 464 . (canceled)
465 . A method, comprising: classifying a population of individuals into lifeotypes that correspond to defined sequences of status data that are collected with respect to specified aspects of the human lifestyle.
466 . The method of claim 465 , wherein the status data is selected from the group consisting of human status data, human condition data, and human lifestyle data.
467 . (canceled)
468 . The method of claim 465 , wherein the at least a subset of the status data was obtained using a body monitor including at least one sensor.
469 . The method of claim 465 , wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
470 . The method of claim 465 , wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
471 . The method of claim 465 , wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
472 - 907 . (canceled)
908 . The method of claim 465 , wherein the status data is derived data, wherein said derived data is generated from both a first parameter and a second parameter of an individual, said both first and second parameters being generated by a sensor device and being at least one of a physiological, contextual and environmental parameter of said individual.
909 . (canceled)
910 . The method of claim 465 , wherein the status data is derived data generated by a processor from a first wearable sensor generating data indicative of at least one of a first physiological, first contextual and first environmental parameter of an individual and a second wearable sensor generating data indicative of at least one of a second physiological, second contextual and second environmental parameter of said individual, wherein the derived data is a status parameter that cannot be directly measured with any of said first and second sensors alone.
911 - 915 . (canceled)
916 . A method, comprising: classifying a population of individuals into lifeotypes that correspond to defined sequences of status data, the status data including data obtained by at least one sensor associated with the individual.
917 . The method of claim 916 , wherein the status data is selected from the group consisting of human status data, human condition data, and human lifestyle data.
918 . The method of claim 916 , further comprising: analyzing patterns within and across lifeotypes to draw conclusions about individuals sharing a certain lifeotype.
919 . The method of claim 916 , wherein the at least one sensor is associated with a body monitor.
920 . The method of claim 916 , wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
921 . The method of claim 916 , wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
922 . The method of claim 916 , wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
923 - 1366 . (canceled)
1367 . A method, comprising: classifying a population of individuals into lifeotypes that correspond to defined sequences of status data that are collected with respect to specified aspects of the human condition.
1368 . The method of claim 1367 , wherein the status data is selected from the group consisting of human status data, human condition data, and human lifestyle data.
1369 . The method of claim 1367 , further comprising: analyzing patterns within and across lifeotypes to draw conclusions about individuals sharing a certain lifeotype.
1370 . The method of claim 1367 , wherein the at least a subset of the status data was obtained using a body monitor including at least one sensor.
1371 . The method of claim 1367 , wherein the status data is selected from the group consisting of: physiological data, contextual data and environmental data.
1372 . The method of claim 1367 , wherein the status data is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1373 . The method of claim 1367 , wherein the status data consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1374 - 1811 . (canceled)
1812 . The method of claim 1367 , wherein the status data is derived data generated by a processor from a first wearable sensor generating data indicative of at least one of a first physiological, first contextual and first environmental parameter of an individual and a second wearable sensor generating data indicative of at least one of a second physiological, second contextual and second environmental parameter of said individual, wherein the derived data is a status parameter that cannot be directly measured with any of said first and second sensors alone.
1813 - 1817 . (canceled)
1818 . In a computer system, a computer-readable storage media storing:
at least one computer program that operates to automatically generate a data structure uniquely corresponding to an individual, wherein said data structure comprises:
a plurality of discrete data bits, said data bits comprising at least one of information that is automatically sensed regarding the individual and information that is input into said system; and
a plurality of bytes assembled from sequences of predefined types of said discrete data bits, wherein said bytes are assembled into a data structure unique to said individual.
1819 . The method of claim 1818 , wherein the data bits include sensed health data, residence data, medical records and survey data.
1820 . The method of claim 1818 , wherein a byte consists of four bits, with one bit consisting of each of sensed health data, residence data, medical records and survey data.
1821 - 1823 . (canceled)
1824 . The method of claim 1818 , wherein a data bit is selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1825 . The method of claim 1818 , wherein a data bit consists of at least two types of data selected from the group consisting of: derived data, analytical status data, contextual data, continuous data, discrete data, time series data, event data, raw data, processed data, metadata, third party data, physiological state data, psychological state data, survey data, medical data, genetic data, environmental data, transactional data, economic data, socioeconomic data, demographic data, psychographic data, sensed data, continuously monitored data, manually entered data, inputted data, real-time date, feedback loop data, relative level data and changes in levels data.
1826 - 2270 . (canceled)