Patents by Inventor Andre Naef
Andre Naef 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).
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Publication number: 20230019375Abstract: 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: ApplicationFiled: September 15, 2022Publication date: January 19, 2023Inventors: Peter Ohnemus, Andre Naef, Manuel Heuer, David Leason
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Patent number: 11462327Abstract: 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: GrantFiled: May 26, 2015Date of Patent: October 4, 2022Assignee: DACADOO AGInventors: Peter Ohnemus, Andre Naef, Manuel Heuer, David Leason
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Patent number: 11417420Abstract: 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: GrantFiled: January 17, 2020Date of Patent: August 16, 2022Assignee: DACADOO AGInventors: Peter Ohnemus, Andre Naef
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Patent number: 11158407Abstract: 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: GrantFiled: September 23, 2019Date of Patent: October 26, 2021Assignee: DACADOO AGInventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Publication number: 20210090709Abstract: 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: ApplicationFiled: December 4, 2020Publication date: March 25, 2021Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Patent number: 10886016Abstract: 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: GrantFiled: April 21, 2014Date of Patent: January 5, 2021Assignee: DACADOO AGInventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Publication number: 20200227155Abstract: 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: ApplicationFiled: January 17, 2020Publication date: July 16, 2020Inventors: Peter Ohnemus, Andre Naef
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Patent number: 10546103Abstract: 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: GrantFiled: June 27, 2016Date of Patent: January 28, 2020Assignee: DACADOO AGInventors: Peter Ohnemus, Andre Naef
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Publication number: 20200027181Abstract: 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: ApplicationFiled: August 8, 2019Publication date: January 23, 2020Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs
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Publication number: 20200020429Abstract: 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: ApplicationFiled: September 23, 2019Publication date: January 16, 2020Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Patent number: 10424404Abstract: 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: GrantFiled: November 23, 2016Date of Patent: September 24, 2019Assignee: Dacadoo AGInventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Publication number: 20180344215Abstract: 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.Type: ApplicationFiled: July 17, 2018Publication date: December 6, 2018Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Publication number: 20180350451Abstract: In one or more implementations, the present application includes a system and method to classify user activity. A passive tracking device, a processor configured to receive information from the tracking device, and a database are disclosed, in which the database is accessible by the processor and stores tracking device information, user profile information and external information. The processor is configured to execute instructions that cause the processor to perform various steps, such as to define a first activity unit having a first start time that corresponds to detection of the user being engaged in an activity, and monitor the tracking device information, the external information or both. 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.Type: ApplicationFiled: November 23, 2016Publication date: December 6, 2018Inventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Publication number: 20170147775Abstract: 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: ApplicationFiled: May 26, 2015Publication date: May 25, 2017Inventors: Peter Ohnemus, Andre Naef, Manuel Heuer, David Leason
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Publication number: 20170147788Abstract: 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: ApplicationFiled: November 23, 2016Publication date: May 25, 2017Inventors: Peter Ohnemus, Andre NAEF, Laurence Jacobs, David LEASON
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Publication number: 20160378921Abstract: 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: ApplicationFiled: June 27, 2016Publication date: December 29, 2016Inventors: Peter Ohnemus, Andre Naef
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Patent number: 9378336Abstract: 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: GrantFiled: March 16, 2012Date of Patent: June 28, 2016Assignee: dacadoo agInventors: Peter Ohnemus, Andre Naef
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Patent number: 8996314Abstract: There is shown and described a computer implemented system and method for analyzing an individual's personal stress level and providing a stress-score representing the individual's personal stress level. A plurality of parameters are received into a memory from at least one computing device and each of the parameters respectively represents a factor of the individual's life that contributes to a level of stress for the individual. The received parameter data is processed by executing code in a processor that configures the processor to normalize the parameter data by assigning, for each of the received parameters, a respective parameter score that represents a relative value of the parameter. The individual's stress-score is calculated as a function of the normalized parameter data, the stress-score is automatically transmitted to the at least one computing device, using code executing in the processor and free of human intervention.Type: GrantFiled: July 5, 2012Date of Patent: March 31, 2015Assignee: Dacadoo AGInventors: Peter Ohnemus, Laurence Jacobs, Andre Naef
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Publication number: 20140316811Abstract: 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: ApplicationFiled: April 21, 2014Publication date: October 23, 2014Applicant: dacadoo agInventors: Peter Ohnemus, Andre Naef, Laurence Jacobs, David Leason
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Patent number: D711002Type: GrantFiled: May 13, 2013Date of Patent: August 12, 2014Assignee: Dacadoo AGInventors: Peter Ohnemus, Jesper Ohnemus, Andre Naef