SYSTEMS AND METHODS FOR DETERMINING INDIVIDUALIZED ENERGY EXPENDITURE

• US 20180049694A1
• Filed: 08/16/2017
• Published: 02/22/2018
• Est. Priority Date: 08/16/2016
• Status: Active Application

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Singh Alvarado, Alexander, Mermel, Craig H., Raghuram, Karthik Jayaraman, Agarwal, Mrinal
• Application Number:
  US15/678,645
• Publication Number:
  US 20180049694A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A63B 2230/75 calorie expenditure
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A method and a system for determining an individual energy expenditure are described. In some embodiments, an energy expenditure can be calculated based on a combination of biometrics, heart rate and work rate. In some embodiments, a relative drag associated with the user can be calculated based on a group formation size, a group formation shape, participant velocities, weather, air density, and participant body surface areas. In some embodiments, a load adjustment factor can be determined based on the relative drag. In some embodiments, an adjusted energy expenditure can be determined based on the load adjustment factor.

Claims

1. A method for improving the accuracy of a wearable device while calculating an individual energy expenditure for a user participating in a group cycling session, the method comprising:

measuring, by a heart rate sensor of the wearable device, a heart rate of the user, wherein the heart rate sensor comprises a photoplethysmogram (PPG) sensor and the PPG sensor is configured to be worn adjacent to the user'"'"'s skin;

calculating, by a processor circuit of the wearable device, an energy expenditure of the user based on at least the measured heart rate;

determining, by the processor circuit, a group formation size and a group formation shape based on a wireless-based proximity;

receiving, from an external source, a wind speed and direction;

determining, by a GPS module of the wearable device, the user'"'"'s velocity;

determining, by the processor circuit, an air density based on an ambient temperature and an atmospheric pressure;

determining, by the processor circuit, a relative drag associated with the user based on the group formation size, the group formation shape, the user'"'"'s velocity, the user'"'"'s body surface area, the wind speed and direction, and the air density;

calculating, by the processor circuit, a load adjustment factor based on the determined relative drag;

determining, by the processor circuit, an updated energy expenditure based on the calculated energy expenditure and the load adjustment factor; and

outputting, by the processor circuit, the updated energy expenditure.

2. The method of claim 1, further comprising:

detecting, by a motion sensing module of the wearable device, the user'"'"'s posture;

determining, by the processor circuit, a cross sectional area of the user based on the user'"'"'s body surface area and the detected posture.

3. The method of claim 1, further comprising:

determining, by the processor circuit, a number and a relative position of nearby devices;

determining, by the processor circuit, the group formation size based on the number of nearby devices; and

determining, by the processor circuit, the group formation shape based on the relative position of nearby devices.

4. The method of claim 3, wherein determining a number of nearby devices comprises determining a number of devices that have successfully connected to the wearable device wirelessly.

5. The method of claim 3, wherein determining a number of nearby devices comprises determining a number of devices within a pre-defined distance from the wearable device.

6. The method of claim 3, wherein determining a relative position of nearby devices comprises performing time of flight calculations, measuring wireless signal strength of nearby devices, or using multiple directional antennas.

7. The method of claim 3, where determining a group formation shape comprises:

deriving, by the processor circuit, a map of devices from the relative position of nearby devices;

performing, by the processor circuit, a matching between the derived map of devices and one or more known group formation shapes; and

determining, by the processor circuit, a group formation shape based on a result of the matching.

8. The method of claim 7, wherein the known group formation shapes comprises a straight line, a cluster, echelon, single paceline, double paceline, circular paceline, or V formation.

9. A system for improving the accuracy of a wearable device while calculating an individual energy expenditure for a user participating in a group cycling session, the system comprising:

a heart rate sensor configured to measure a hear rate of the user, wherein the heart rate sensor comprises a photoplethysmogram (PPG) sensor and the PPG sensor is configured to be worn adjacent to the user'"'"'s skin;

a GPS module configured to measure the user'"'"'s location and velocity;

a wireless module configured to measure a wireless-based proximity of nearby devices; and

a processor circuit coupled to the heart rate sensor, the GPS module, and the wireless module and configured to execute instructions causing the processor circuit to;

calculate an energy expenditure based on at least the measured heart rate;

determine a group formation size and a group formation shape based on the measured wireless-based proximity;

determine an air density based on an ambient temperature and an air pressure;

receive a wind speed and direction from an external source;

determine a relative drag associated with the user based on the group formation size, the group formation shape, the user'"'"'s velocity, the user'"'"'s body surface area, the wind speed and direction, and the air density;

calculate a load adjustment factor based on the determined relative drag;

determine an updated energy expenditure based on the calculated energy expenditure and the load adjustment factor; and

output the updated energy expenditure.

10. The system of claim 9, wherein the instructions further cause the processor circuit to determine a cross sectional area of the user based on the user'"'"'s body surface area and a posture of the user detected by a motion sensing module.

11. The system of claim 9, wherein the instructions further cause the processor circuit to:

determine a number and a relative position of nearby devices;

determine the group formation size based on the number of nearby devices; and

determine the group formation shape based on the relative position of nearby devices.

12. The system of claim 11, wherein the instructions further cause the processor circuit to determine a number of devices that have successfully connected to the wearable device wirelessly.

13. The system of claim 11, wherein the instructions further cause the processor circuit to determine a number of devices within a pre-defined distance from the wearable device.

14. The system of claim 11, wherein the instructions further cause the processor circuit to:

derive a map of devices from the relative position of nearby devices;

perform a matching between the derived map of devices and one or more known group formation shapes; and

determine a group formation shape based on a result of the matching.

15. The system of claim 14, wherein the known group formation shapes comprises a straight line, a cluster, echelon, single paceline, double paceline, circular paceline, or V formation.

16. A mobile device comprising the system of claim 9.