Abstract: Information associated with a person is securely collected, generated, and provisioned. At least one computing device secures at least some of received information (secured information) and stores the secured information on a distributed ledger system. A request to access the secured information is received. If the requesting device(s) do not have authorization to access the secured information, a virtual representation of the person with the request for authorization to access the secured information. The virtual representation of the person receives via the VR/AR environment from the person, the authorization, and the computing device(s) automatically provide, in response to receiving the authorization, the at least one other computing device with access to the secured information.

Abstract: Multivariate graphs specific to a company's performance, alone or in relation to a benchmark, and methods for producing same include defining on a display screen an origin having a first value, extending from the origin at least three axes on the display screen, the axes being generally equidistant from each other and representing a respective variable, plotting on the display screen a value of each variable concerning the company as a point on a respective axis, and using the plotted points to interpolate first segments between the axes on the display screen. Benchmark information, extrinsic to the company, can be obtained, processed into a rating in the same manner as the company data, and superimposed for ready visual comparison of the company's performance to the obtained benchmark. The benchmark information, if shown, is distinguished from the company's performance graph.

Abstract: A system and method are disclosed for computing a Health Score. Health data and extrinsic data are received that are parameters for computation of the Health Score. The received data can be combined using an algorithm being implemented as code executing in a processor so as to compute the Health Score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data. Further, the computed Health Score is output to an interface of the user device. Information concerning the parameters' interaction are selectively output to the interface that explain which changes in the parameters are significant drivers of the change in the Health Score.

Abstract: A system and method are disclosed for computing a Health Score. Health data and extrinsic data are received that are parameters for computation of the Health Score. The received data can be combined using an algorithm being implemented as code executing in a processor so as to compute the Health Score of the individual wherein parameters comprising one portion of the data interacts with parameters comprising another portion of the data. Further, the computed Health Score is output to an interface of the user device. Information concerning the parameters' interaction are selectively output to the interface that explain which changes in the parameters are significant drivers of the change in the Health Score.

Abstract: A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: A passive tracking device, a processor configured to receive information from the tracking device, and a database accessible by the processor, among other elements, are disclosed. A first activity unit having a first start time corresponding to detection of engagement is monitored. The processor is further configured to establish a first end time of the first activity unit using the monitored information, and automatically ascribe a classification of the first activity unit. The classification of the first activity unit is output to a display of a computing device, and the classification of the first activity unit is stored in the database. A revised classification is output to a display of a computing device, the revised classification is stored in the database.

Abstract: A unique health score computation method is disclosed which masks underlying health statistics, yet provides a benchmark for a variety of applications. A system and method for collecting health related information, processing the information into a composite numerical value, and publishing the value is provided. The system includes a computer having a processor, memory, and code modules executing in the processor for implementation of the method. Information concerning a plurality of intrinsic and extrinsic parameters of a user is collected. Weighting factors are applied to the parameter in order control the relative affect each parameter has on the user's calculated numerical. The health score is computed using the processor by combining the weighted parameters in accordance with an algorithm. The numerical value is published to a designated group via a portal, while the underlying parameters remain private. In one implementation, the portal is an internet based information sharing forum.

Abstract: A unique health score computation method is disclosed which masks underlying health statistics, yet provides a benchmark for a variety of applications. A system and method for collecting health related information, processing the information into a composite numerical value, and publishing the value is provided. The system includes a computer having a processor, memory, and code modules executing in the processor for implementation of the method. Information concerning a plurality of intrinsic and extrinsic parameters of a user is collected. Weighting factors are applied to the parameter in order control the relative affect each parameter has on the user's calculated numerical. The health score is computed using the processor by combining the weighted parameters in accordance with an algorithm. The numerical value is published to a designated group via a portal, while the underlying parameters remain private. In one implementation, the portal is an internet based information sharing forum.

Abstract: A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Multivariate graphs specific to a company's performance, alone or in relation to a benchmark, and methods for producing same include defining on a display screen an origin having a first value, extending from the origin at least three axes on the display screen, the axes being generally equidistant from each other and representing a respective variable, plotting on the display screen a value of each variable concerning the company as a point on a respective axis, and using the plotted points to interpolate first segments between the axes on the display screen. Benchmark information, extrinsic to the company, can be obtained, processed into a rating in the same manner as the company data, and superimposed for ready visual comparison of the company's performance to the obtained benchmark. The benchmark information, if shown, is distinguished from the company's performance graph.

Abstract: A computer implemented method for managing health-related data captures an image from a display of an exercise machine using a camera, has the images processed to extract the text data from the captured images, and analyzes the text data to identify information relating to extrinsic physical activity performed by a person at the exercise machine. The results are stored in memory and a profile specific to the person is updated. The profile comprises a log of past exercise activity that allows the person to track his or her activity and progress and overall health. The profile can be accessed by the person through a portal such as using a smart phone or a computer program or web browser. The results can be combined with other data to arrive at a health score which can be published through the portal while personal data remains masked from public inspection.

Abstract: Modulated output from each of a plurality of models is integrated to quantify factors and generate a plurality of values, each within a continuous distribution. A respective discrete category is associated with some of the values to represent a likelihood of future occurrence. Values are received from a first, second, and third data model. The values are modulated to scale a value representing aspect(s) associated with the likelihood of the future occurrence. The modulating is based on at least one factor derived from at least one of the first data model, the second data model, and the third data model. Thereafter, the values are integrated as a function artificial intelligence comprised in the at least one computing device, and a respective discrete category associated with the integrated values is selected, wherein each of the integrated values and the selected category represent the likelihood of a future occurrence.

Abstract: A passive tracking device, a processor configured to receive information from the tracking device, and a database accessible by the processor, among other elements, are disclosed. A first activity unit having a first start time corresponding to detection of engagement is monitored. The processor is further configured to establish a first end time of the first activity unit using the monitored information, and automatically ascribe a classification of the first activity unit. The classification of the first activity unit is output to a display of a computing device, and the classification of the first activity unit is stored in the database. A revised classification is output to a display of a computing device, the revised classification is stored in the database.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: A passive tracking device, a processor configured to receive information from the tracking device, and a database accessible by the processor, among other elements, are disclosed. A first activity unit having a first start time corresponding to detection of engagement is monitored. The processor is further configured to establish a first end time of the first activity unit using the monitored information, and automatically ascribe a classification of the first activity unit. The classification of the first activity unit is output to a display of a computing device, and the classification of the first activity unit is stored in the database. A revised classification is output to a display of a computing device, the revised classification is stored in the database.

Abstract: Multivariate graphs specific to a company's performance, alone or in relation to a benchmark, and methods for producing same include defining on a display screen an origin having a first value, extending from the origin at least three axes on the display screen, the axes being generally equidistant from each other and representing a respective variable, plotting on the display screen a value of each variable concerning the company as a point on a respective axis, and using the plotted points to interpolate first segments between the axes on the display screen. Benchmark information, extrinsic to the company, can be obtained, processed into a rating in the same manner as the company data, and superimposed for ready visual comparison of the company's performance to the obtained benchmark. The benchmark information, if shown, is distinguished from the company's performance graph.

Abstract: Dynamic tracking of user-based activity is provided as a function of information received from a plurality of data sources. Tracking of user activity information via a first application occurs correlated to steps taken by a user over a period of time. A health score associated with the user is presented in a GUI. Further, communication with a second application occurs during gameplay. Moreover, the at least one computing device is configured to combine, using the first application, the tracked user activity information with at least a portion of the user interaction information into an activity value. The computing device updates the health score using the activity value. Still further, the computing device is configured to store the updated health score in association with a record concerning the user, and to cause a notification on the mobile computing device of the updated health score when the first application is not executing.

Abstract: A remote microarray analysis system, method and apparatus for use in the remote analysis of a chemical compound microarray supported on a substrate is disclosed. Pixel image data is received from a remote location including image data that depicts (a) a calibration scale associated with the substrate and (b) the microarray. A transformation action of said pixel data corresponding to the calibration scale is determined and the received image data corresponding to at least the microarray is adjusted by applying the transformation action. The adjusted image of the microarray is compared with a database of stored microarray pixel data to extract information from said image.