Method and System for Using Artificial Intelligence to Determine a User's Progress During Interval Training

Patent metadata

Field	Value
Publication number	US-2025099816-A1
Application number	US-202418902411-A
Country	US
Kind code	A1
Filing date	Sep 30, 2024
Priority date	May 10, 2019
Publication date	Mar 27, 2025
Grant date	—

Abstract

A method is disclosed for using an artificial intelligence engine to perform a control action. The control action is based on one or more measurements from a wearable device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the control action to be performed. The method includes receiving the one or more measurements from the wearable device being worn by a user, determining whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone, and responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.

First claim

What is claimed is:

1 . A computer-implemented method for using an artificial intelligence engine to perform a control action, wherein the control action is based on one or more measurements from a wearable device, and wherein the computer-implemented method comprises:
generating, by the artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input; outputting, based on the one or more measurements, a control instruction that causes the control action to be performed; receiving the one or more measurements from the wearable device being worn by a user; determining whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone; and responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.

2 . The computer-implemented method of claim 1 , wherein the one or more measurements comprise a heartrate, a blood pressure, a blood oxygen level, a blood glucose level, a temperature, a perspiration rate, a revolutions per minute, a number of steps, a speed, an amount of force, or some combination thereof.

3 . The computer-implemented method of claim 1 , wherein the control action comprises transmitting a notification for presentation on a user interface of a computing device associated with the exercise device, wherein the notification comprises feedback to encourage the user to perform, during the interval training session, an exercise within the target training zone.

4 . The computer-implemented method of claim 1 , further comprising:
determining that the one or more measurements indicate the one or more characteristics of the user are within an undesired target zone; and performing the control action, wherein the control action comprises transmitting the control instruction to cause the exercise device to stop operating, to slow down, to generate a warning, or some combination thereof.

5 . The computer-implemented method of claim 1 , further comprising:
receiving data associated with the user; and based on the data and the one or more measurements, predicting, via the machine learning model, a medical condition associated with the user.

6 . The computer-implemented method of claim 1 , wherein the wearable device comprises a watch, a necklace, an anklet, a bracelet, a belt, a ring, a hat, a shoe, a piece of clothing, or some combination thereof.

7 . The computer-implemented method of claim 1 , wherein the control action comprises controlling an operating parameter of an exercise device.

8 . The computer-implemented method of claim 1 , further comprising, responsive to determining that the one or more measurements indicate, during the interval training session, that the one or more characteristics of the user are within the desired target zone, performing the control action comprising transmitting a notification to a computing device associated with an exercise device, wherein the notification provides a motivational message to the user.

9 . The computer-implemented method of claim 1 , wherein the interval training session is included in an exercise plan associated with a rehabilitation program which the user is performing.

10 . The computer-implemented method of claim 1 , further comprising:
receiving second input from the user, wherein the second input comprises an instruction to modify an operating parameter of an exercise device, and the second input is received via a microphone, a touchscreen, a keyboard, a mouse, a proprioceptive sensor, or some combination thereof.

11 . A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:
generate, by an artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input; output, based on the one or more measurements, a control instruction that causes the control action to be performed; receive the one or more measurements from a wearable device being worn by a user; determine whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone; and responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.

12 . The computer-readable medium of claim 11 , wherein the one or more measurements comprise a heartrate, a blood pressure, a blood oxygen level, a blood glucose level, a temperature, a perspiration rate, a revolutions per minute, a number of steps, a speed, an amount of force, or some combination thereof.

13 . The computer-readable medium of claim 11 , wherein the control action comprises transmitting a notification for presentation on a user interface of a computing device associated with the exercise device, wherein the notification comprises feedback to encourage the user to perform, during the interval training session, an exercise within the target training zone.

14 . The computer-readable medium of claim 11 , wherein the processing device is configured to:
determine that the one or more measurements indicate the one or more characteristics of the user are within an undesired target zone; and perform the control action, wherein the control action comprises transmitting the control instruction to cause the exercise device to stop operating, to slow down, to generate a warning, or some combination thereof.

15 . The computer-readable medium of claim 11 , wherein the processing device is configured to:
receive data associated with the user; and based on the data and the one or more measurements, predict, via the machine learning model, a medical condition associated with the user.

16 . The computer-readable medium of claim 11 , wherein the wearable device comprises a watch, a necklace, an anklet, a bracelet, a belt, a ring, a hat, a shoe, a piece of clothing, or some combination thereof.

17 . The computer-readable medium of claim 11 , wherein the control action comprises controlling an operating parameter of an exercise device.

18 . A system comprising:
a memory device storing instructions; and a processing device communicatively coupled to the memory device, wherein the processing device executes the instructions to:
generate, by an artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input;
output, based on the one or more measurements, a control instruction that causes the control action to be performed;
receive the one or more measurements from a wearable device being worn by a user;
determine whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone; and
responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.

19 . The system of claim 18 , wherein the one or more measurements comprise a heartrate, a blood pressure, a blood oxygen level, a blood glucose level, a temperature, a perspiration rate, a revolutions per minute, a number of steps, a

Assignees

• Rom Tech Inc

Inventors

• Bissonnette Michael
• Berga Luis
• Mason Steven
• Powers Philip
• Steidl James D

Classifications

• A61B5/6802

  Sensor mounted on worn items · CPC title

• A63B2024/0065

  Evaluating the fitness, e.g. fitness level or fitness index · CPC title

• A63B2024/0012

  Comparing movements or motion sequences with a registered reference · CPC title

• A63B2024/0009

  Computerised real time comparison with previous movements or motion sequences of the user · CPC title

• A63B2024/0093

  the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed · CPC title