Patents by Inventor Peter Ohnemus

Peter Ohnemus has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230307101
    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.
    Type: Application
    Filed: March 24, 2023
    Publication date: September 28, 2023
    Inventor: Peter Ohnemus
  • Patent number: 11727480
    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.
    Type: Grant
    Filed: August 5, 2019
    Date of Patent: August 15, 2023
    Assignee: Refinitiv US Organization LLC
    Inventors: Peter Ohnemus, Henrik Steffensen, David Leason, Dominique Habegger
  • Publication number: 20230019375
    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.
    Type: Application
    Filed: September 15, 2022
    Publication date: January 19, 2023
    Inventors: Peter Ohnemus, Andre Naef, Manuel Heuer, David Leason
  • Patent number: 11462327
    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.
    Type: Grant
    Filed: May 26, 2015
    Date of Patent: October 4, 2022
    Assignee: DACADOO AG
    Inventors: Peter Ohnemus, Andre Naef, Manuel Heuer, David Leason
  • Patent number: 11417420
    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.
    Type: Grant
    Filed: January 17, 2020
    Date of Patent: August 16, 2022
    Assignee: DACADOO AG
    Inventors: Peter Ohnemus, Andre Naef
  • Patent number: 11397955
    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.
    Type: Grant
    Filed: October 18, 2019
    Date of Patent: July 26, 2022
    Assignee: Refinitiv US Organization LLC
    Inventors: Peter Ohnemus, Christopher Greenwald, Peter Pircher
  • Patent number: 11158407
    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.
    Type: Grant
    Filed: September 23, 2019
    Date of Patent: October 26, 2021
    Assignee: DACADOO AG
    Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
  • Publication number: 20210090709
    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.
    Type: Application
    Filed: December 4, 2020
    Publication date: March 25, 2021
    Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
  • Patent number: 10886016
    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.
    Type: Grant
    Filed: April 21, 2014
    Date of Patent: January 5, 2021
    Assignee: DACADOO AG
    Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
  • Publication number: 20200227155
    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.
    Type: Application
    Filed: January 17, 2020
    Publication date: July 16, 2020
    Inventors: Peter Ohnemus, Andre Naef
  • Publication number: 20200118144
    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.
    Type: Application
    Filed: October 18, 2019
    Publication date: April 16, 2020
    Inventors: Peter Ohnemus, Christopher Greenwald, Peter Pircher
  • Publication number: 20200034921
    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.
    Type: Application
    Filed: August 5, 2019
    Publication date: January 30, 2020
    Inventors: Peter Ohnemus, Henrik Steffensen, David Leason, Dominique Habegger
  • Patent number: 10546103
    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.
    Type: Grant
    Filed: June 27, 2016
    Date of Patent: January 28, 2020
    Assignee: DACADOO AG
    Inventors: Peter Ohnemus, Andre Naef
  • Publication number: 20200027181
    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.
    Type: Application
    Filed: August 8, 2019
    Publication date: January 23, 2020
    Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs
  • Publication number: 20200020429
    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.
    Type: Application
    Filed: September 23, 2019
    Publication date: January 16, 2020
    Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
  • Patent number: 10489793
    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.
    Type: Grant
    Filed: March 7, 2017
    Date of Patent: November 26, 2019
    Assignee: Refinitiv US Organization LLC
    Inventors: Peter Ohnemus, Christopher Greenwald, Peter Pircher
  • Patent number: 10424404
    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.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: September 24, 2019
    Assignee: Dacadoo AG
    Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
  • Patent number: RE47706
    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.
    Type: Grant
    Filed: October 24, 2016
    Date of Patent: November 5, 2019
    Assignee: dacadoo ag
    Inventor: Peter Ohnemus
  • Patent number: D1032622
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: June 25, 2024
    Assignee: DACADOO AG
    Inventor: Peter Ohnemus
  • Patent number: D1039534
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: August 20, 2024
    Assignee: dacadoo ag
    Inventor: Peter Ohnemus