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.
Claims16
A method of providing a preferred fitness state of a user, the method comprising:
- detecting, by at least a sensor, at least a first biological parameter of a user;
- receiving, by a fitness state sorting module operating on a computing device, the at least a first biological parameter;
- determining, by the fitness state sorting module, a current user fitness state, wherein determining the current user fitness state further comprises generating the current user fitness state using a fitness state model relating biological parameters to fitness states and a first machine-learning algorithm;
- and
- determining, by the fitness state sorting module, a user specific recommendation, wherein determining the user specific recommendation further comprises generating the user specific recommendation using a user specific recommendation model relating user specific recommendations to fitness states and a goal fitness state and a second machine-learning algorithm, wherein the goal fitness state is received from a user.
A method of machine-learning data analysis for determining a fitness state of a user, the method comprising:
- detecting, by at least a sensor communicating with a computing device, at least a biological parameter of a user;
- receiving, by the computing device, a data signal containing the at least a biological parameter;
- parsing, by the computing device, the data signal to extract the at least a biological parameter;
- receiving, by the computing device, at least a user input from a user input element, wherein the user input contains at least a desired fitness state of the user;
- generating a current user fitness state and a user specific recommendation using at least a machine-learning model, wherein generating the current user fitness state comprises generating a fitness state model wherein the fitness state model utilizes the at least a biological parameter as an input and outputs a current user fitness state utilizing a first machine-learning algorithm;
- and
- providing the current user fitness state and the user specific recommendation to a user on a user interface located on the computing device.
Dependencies are inferred from the claim text.