EP-4165650-B1 - VOLUME AND INTENSITY-BASED ACTIVITY EVALUATIONS FOR DEVICES

EP4165650B1EP 4165650 B1EP4165650 B1EP 4165650B1EP-4165650-B1

Inventors

MAJMUDAR, Maulik
MOLTON, Jared
COLE, DAVID ROBERT
WANG, Hanhan
ALBADAWI, HAITHEM
Lamond, William Scott

Dates

Publication Date: 20260513
Application Date: 20210611

Claims (14)

A method, comprising: determining, by at least one processor of a device, a heart rate; determining, by the at least one processor and based on the heart rate, a motion threshold; determining, by the at least one processor, motion data; comparing, by at least one processor, the motion data to the motion threshold; determining, by the at least one processor and based on the comparison of the motion data to the motion threshold, an activity intensity level; determining, by the at least one processor and based on the activity intensity level, an activity score; and causing presentation, by the at least one processor, of data indicating the activity score, wherein the method further comprises: determining a heart rate threshold; and comparing the heart rate to the heart rate threshold, wherein determining the motion threshold is based on the comparison of the heart rate to the heart rate threshold.
The method of claim 1, further comprising: determining, based on the comparison of the motion data to the motion threshold, a threshold heart rate change; determining a heart rate change associated with a time period; and comparing the heart rate change to the threshold heart rate change, wherein determining the activity intensity level is further based on the comparison of the heart rate change to the threshold heart rate change.
The method of any of claims 1 or 2, further comprising: comparing the activity score to a score threshold; and determining that the activity score exceeds the score threshold, wherein the data further indicates that the activity score exceeds the score threshold.
The method of claim 3, wherein the score threshold is a first score threshold, the method further comprising determining a second score threshold that is larger than the first score threshold.
The method of any of claims 1 or 2, further comprising: comparing the activity score to a score threshold; determining that the activity score is less than the score threshold; and determining a difference between the activity score and the score threshold, wherein the data further indicates that the activity score is less than the score threshold by the difference.
The method of claim 5, wherein the score threshold is a first score threshold, the method further comprising determining a second score threshold that is smaller than the first score threshold by an amount associated with the difference.
The method of any of claims 1 or 2, wherein the heart rate and the motion data are associated with a user, the method further comprising: determining a second heart rate associated with the user; determining second motion data associated with the user; and determining a second activity intensity level associated with the second heart rate and the motion data, the second activity intensity level different than the activity intensity level, wherein determining the activity score is further based on the second activity intensity level.
The method of claim 7, further comprising determining a sum of first points associated with the activity intensity level and second points associated with the second activity intensity level, wherein determining the activity score is further based on the sum.
The method of any of claims 1 or 2, wherein the heart rate is a first heart rate associated with a user, the method further comprising: determining a second heart rate associated with the user; determining second motion data associated with the user; and determining a second activity intensity level associated with the second heart rate and the motion data, wherein the second activity intensity level indicates that a user was sedentary during a time period associated with the second heart rate; and determining a negative activity score based on the second activity intensity level, wherein determining the activity score is further based on the negative activity score.
The method of claim 1, wherein the activity score is a first activity score associated with a first time period, wherein the heart rate is associated with a user, and wherein determining the heart rate threshold is based on at least one of data associated with the user or environmental data, wherein the data associated with the user comprises at least one of a user age or a second activity score associated with a second time period preceding the first time period.
The method of any of claims 1 or 2, further comprising: receiving a user input comprising a type of activity and a duration associated with the activity; and determining a second activity intensity level based on the user input, wherein determining the activity score is further based on the second activity intensity level.
The method of any of claims 1 or 2, wherein the activity score is a first activity score associated with a first time period, the method further comprising: determining a second activity score associated with a second time period preceding the first time period, wherein determining the first activity score is further based on the second activity score.
The method of any of claims 1 or 2, wherein the heart rate and the motion data are associated with a user, a first time period, and a first heart rate change, and wherein the motion data is first motion data, the method further comprising: determining a second heart rate associated with the user and a second time period; determining second motion data associated with the user and the second time period; determining, based on the second motion data, a threshold heart rate change for the second time period; determining a second heart rate change associated with the second heart rate and the second time period; and determining, based on a comparison of the second heart rate change to the threshold heart rate change, a second activity intensity level associated with the second heart rate and the second motion data, the second activity intensity level different than the activity intensity level, wherein: determining the activity score is further based on the second activity intensity level, and at least one of the following: the first heart rate is different than the second heart rate, the first motion data is different than the second motion data, or the first heart rate change is different than the second heart rate change.
A device comprising memory coupled to at least one processor, the at least one processor configured to: determine a heart rate associated with a user; determine, based on the heart rate, a motion threshold for a time period; determine device data associated with a second device and the user; compare the device data to the motion threshold for the time period; determine a heart rate change associated with the heart rate and the time period; determine, based on the heart rate change, an activity intensity level associated with the heart rate and the device data; determine, based on the activity intensity level, an activity score; and send data indicating the activity score for presentation at the second device, wherein the at least one processor is further configured to: determine a heart rate threshold; and compare the heart rate to the heart rate threshold, wherein to determine the motion threshold for the time period is based on the comparison of the heart rate to the heart rate threshold.

Description

CROSS-REFERENCE TO RELATED APPLICATION(S) This application is related to and claims priority to U.S. Non-Provisional Patent Application No. 16/899,464, filed June 11, 2020. BACKGROUND People increasingly are monitoring their activities and consumption habits to improve their health. Some activities that people may monitor include exercise, rest, and sedentary periods. People may be interested in the amount of time that they spend performing certain activities. However, some activity tracking methods using devices do not account for the intensity of an activity and a relationship between activity volume and activity intensity. Therefore, people may benefit from an enhanced activity evaluation using devices. US 2013/184613 A1 describes a method for calculating point values for users who participate in activities. A system captures an activity using a sensor, and then classifies the activity by comparing one or more sensor signals to one or more templates. Once the activity is classified, an activity factor is selected. If the activity factor exceeds a certain threshold value, activity points are then calculated as a function of the activity factor and duration of the activity. If the activity factor does not exceed this threshold, the corresponding activity is disregarded and not used in the calculation of the points. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 illustrates an example system for volume and intensity-based activity evaluations using devices, in accordance with one or more example embodiments of the present disclosure.FIG. 2 illustrates an example flow diagram for performing volume and intensity-based activity evaluations, in accordance with one or more example embodiments of the present disclosure.FIG. 3 illustrates an example flow diagram for performing volume and intensity-based activity evaluations, in accordance with one or more example embodiments of the present disclosure.FIG. 4A illustrates an example flow diagram for performing volume and intensity-based activity evaluations, in accordance with one or more example embodiments of the present disclosure.FIG. 4B illustrates an example flow diagram for performing volume and intensity-based activity evaluations, in accordance with one or more example embodiments of the present disclosure.FIG. 5A illustrates a flow diagram for a process for performing volume and intensity-based activity evaluations, in accordance with one or more example embodiments of the present disclosure.FIG. 5B illustrates a flow diagram for a process for performing volume and intensity-based activity evaluations, in accordance with one or more example embodiments of the present disclosure.FIG. 6 illustrates a block diagram of an example machine upon which any of one or more techniques (e.g., methods) may be performed, in accordance with one or more example embodiments of the present disclosure. Certain implementations will now be described more fully below with reference to the accompanying drawings, in which various implementations and/or aspects are shown. However, various aspects may be implemented in many different forms and should not be construed as limited to the implementations set forth herein; rather, these implementations are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. Like numbers in the figures refer to like elements throughout. Hence, if a feature is used across several drawings, the number used to identify the feature in the drawing where the feature first appeared will be used in later drawings. DETAILED DESCRIPTION OVERVIEW The invention is defined by the appended claims. Example embodiments described herein provide certain systems, methods, and devices for performing volume and intensity-based activity evaluations. A person's activities may be evaluated in a variety of ways. For example, user device data, such accelerometer or other motion and/or location data, may provide an indication of a person's activity intensity levels (e.g., whether the person with the user device moved a certain amount during a time period). Biometric data, such as heart rate (HR), breathing rate, pulse oximetry, and the like, may indicate whether a person is sleeping, sedentary, or active. The combination of device and biometric data may provide indications of activity intensity levels of a person over a period of time, such as a day or a week. Some activity monitoring techniques may not combine device and biometric data for activity analysis. Not all activity may be the same and contribute the same amount to a person's health. For example, an hour of light exercise may provide a different level of physical benefit than an hour of intense exercise. In this manner, activity time may provide an indication of how active a person may be, and the intensity of activity may provide additional insight. Thresholds may be used to measure levels of activity. For example, activity exceeding a