Methods and systems for providing a preferred fitness state of a user
OwnerTrungram Gyaltrul Sherpainventor
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Abstract
Systems and methods for providing a preferred fitness state of a use are disclosed. The system includes at least a sensor that detects at least a biological parameter of a user and a fitness state sorting module that generates a current user fitness state using machine-learning and the at least a biological parameter. Methods of providing a preferred fitness state of a user include detecting at least a biological parameter of a user, determining by a fitness state sorting module a current user fitness state and determining a user specific recommendation by the fitness state sorting module.
Claims13
A system for machine-learning data analysis for determining a fitness state of a user, the system comprising:
- at least a sensor designed and configured to detect at least a biological parameter of a user and transmit a data signal containing the at least a biological parameter;
- a biological parameter processing module operating on a computing device, wherein the biological parameter processing module is configured to:
- receive the data signal containing at least a biological parameter;
- and
- parse the data signal to extract the at least a biological parameter;
- a demographic processing module operating on the computing device, wherein the demographic processing module is configured to receive at least a user input from the user, wherein the at least a user input includes a desired fitness state of the user;
- a fitness state sorting module operating on the computing device wherein:
- the fitness state sorting module includes a fitness state model relating biological parameters to fitness states;
- the fitness state sorting module includes a user specific recommendation model relating fitness states to user specific recommendations and
- the fitness state sorting module is configured to generate a current user fitness state using the fitness state model and the at least a biological parameter and generate a user specific recommendation using the user specific recommendation model and the at least a user input wherein the at least a user input includes a goal fitness level;
- and
- a user interface configured to provide the current user fitness state and the user specific recommendation to the user.
A system for machine-learning data analysis for determining a fitness state of a user, the system comprising:
- at least a sensor designed and configured to detect at least a biological parameter of a user and transmit a data signal;
- and
- a fitness state sorting module operating on the computing device wherein:
- the fitness state sorting module includes a fitness state model relating biological parameters to fitness states;
- the fitness state sorting module includes a user specific recommendation model relating fitness states to user specific recommendations;
- the fitness state sorting module is configured to generate a current user fitness state using the fitness state model and the at least a biological parameter and
- the fitness state sorting module is configured to generate a user specific recommendation using the user specific recommendation model and a goal fitness level wherein the fitness state sorting module is configured to generate the goal fitness level using the fitness state model.
Dependencies are inferred from the claim text.