Method for expert system to dynamically adapt fitness training plans
Inventors
Watkins, Trevor William • Giuliani, Daniel Roven • McNaboe, Brian James • Derwin, Jace Atom
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Assignees
Member
Volt AthleticsVolt Athletics delivers a digital platform for personalized, evidence-based strength and conditioning programs, leveraging artificial intelligence for adaptive training tailored to various sports and user needs. The company addresses performance optimization, injury mitigation, and large-scale deployment for individuals, teams, and organizations, with customizable options to match equipment, skill, and logistical constraints.
Volt Athletics delivers a digital platform for personalized, evidence-based strength and conditioning programs, leveraging artificial intelligence for adaptive training tailored to various sports and user needs. The company addresses performance optimization, injury mitigation, and large-scale deployment for individuals, teams, and organizations, with customizable options to match equipment, skill, and logistical constraints.
Publication Number
US-11471059-B2
Publication Date
2022-10-18
Expiration Date
Abstract
A method for an expert system to develop fitness training plans includes operating a dynamic exertion system to receive a rate of perceived exertion (RPE) through a user interface of a display device, combines the RPE with a movement, a movement load, and movement repetitions into movement set data, and operates a dynamic exertion algorithm. The method then displays an adjusted movement information display including the prescribed load and the prescribed movement repetitions through the user interface. The dynamic exertion algorithm generates a prescribed load and prescribed movement repetitions, determines a difference in RPE from the expected RPE through operation of a comparator, recalculates the one repetition maximum load value using the calibration and adjustment model when the difference in RPE is greater than an RPE threshold value, and generates a display control comprising the prescribed load and the prescribed movement repetitions.
Core Innovation
The invention provides a method and a computing apparatus for dynamic exertion in fitness training plans by receiving a rate of perceived exertion (RPE) through a user interface of a display device. The method combines the received RPE with a movement, a movement load, and movement repetitions into movement set data. The dynamic exertion approach operates a dynamic exertion algorithm that uses a one repetition maximum load value, historical movement set data, a relative exertion model, and a calibration and adjustment model to generate prescribed load and prescribed movement repetitions.
The dynamic exertion algorithm defines a relationship between the movement load, the movement repetitions, and the RPE via the relative exertion model, and determines an expected RPE. A comparator is used to determine a difference in RPE from the expected RPE. When the difference in RPE is greater than an RPE threshold value, the method recalculates the one repetition maximum load value using the calibration and adjustment model.
After recalculation based on comparator output relative to the RPE threshold value, the method generates a display control comprising the prescribed load and the prescribed movement repetitions. The invention then displays an adjusted movement information display comprising the prescribed load and the prescribed movement repetitions through the user interface in response to configuration of a user interface controller with the display control.
Claims Coverage
The independent claims include two independent claims: a method and a computing apparatus. Across these claims, there are 5 main inventive features.
Receiving RPE through user interface of display device
Receiving a rate of perceived exertion (RPE) through a user interface of a display device.
Combining RPE with movement details into movement set data
Combining the RPE with a movement, a movement load, and movement repetitions into movement set data.
Generating prescribed load and repetitions using dynamic exertion algorithm with relative exertion and calibration adjustment
Operating a dynamic exertion algorithm to generate a prescribed load and prescribed movement repetitions from a one repetition maximum load value, historical movement set data, a relative exertion model and a calibration and adjustment model, wherein the relative exertion model defines a relationship between the movement load, the movement repetitions, and the RPE, and determines an expected RPE.
Comparing RPE difference and recalculating one repetition maximum when threshold is exceeded
Determining a difference in RPE from the expected RPE through operation of a comparator, and recalculating the one repetition maximum load value using the calibration and adjustment model when the difference in RPE is greater than an RPE threshold value.
Displaying adjusted movement information using user interface controller and display control
Generating a display control comprising the prescribed load and the prescribed movement repetitions, and displaying an adjusted movement information display comprising the prescribed load and the prescribed movement repetitions through the user interface in response to configuration of a user interface controller with the display control.
In combination, the independent claims cover a UI-driven RPE input workflow that feeds movement set data into a dynamic exertion algorithm. The algorithm produces prescribed load and prescribed movement repetitions from a one repetition maximum load value using relative exertion and calibration and adjustment models, compares expected versus received RPE via a comparator, conditionally recalculates the one repetition maximum when an RPE threshold is exceeded, and displays adjusted movement information via UI display control.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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