Activity intensity level determination

• US 10,433,768 B2
• Filed: 12/21/2016
• Issued: 10/08/2019
• Est. Priority Date: 12/21/2015
• Status: Active Grant

• Current Assignee: Suunto Oy (Anta International Group Holdings Ltd.)
• Original Assignee: Amer Sports Digital Services Oy (Anta International Group Holdings Ltd.)
• Inventors: Eriksson, Timo, Martikka, Mikko, Lindman, Erik
• Primary Examiner(s): Islam, Mohammad K
• Application Number:
  US15/386,062
• Publication Number:
  US 20170172467A1
• Time in Patent Office: 1,021 Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0238 Means for recording calibration data
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/6895 Sport equipment

Abstract

According to an example aspect of the present invention, there is provided an apparatus comprising memory configured to store a user-specific calibration metric, at least one processing core, configured to determine an activity type identifier of an activity a user is engaged in, and to determine a user-specific intensity level of the activity, wherein determining the user-specific intensity level is based at least partly on the identifier of the activity type, the user-specific calibration metric and data obtained from a kinematic sensor or speed sensor, and to obtain the user-specific calibration metric by causing the apparatus to participate in a calibration procedure, the calibration procedure including communicating kinematic or speed sensor data with a server.

Claims

1. An apparatus comprising:

memory configured to store a user-specific calibration metric;

at least one processing core, configured to determine an activity type identifier of an activity a user is engaged in, and to determine a user-specific intensity level of the activity, wherein determining the user-specific intensity level is based at least partly on the identifier of the activity type, the user-specific calibration metric and data obtained from a kinematic sensor or speed sensor, and to obtain the user-specific calibration metric by causing the apparatus to participate in a calibration procedure, the calibration procedure including communicating kinematic or speed sensor data with a remote server and receiving the user-specific calibration metric from the remote server.

2. The apparatus according to claim 1, wherein the user specific intensity level is determined in terms of excess post-exercise oxygen consumption, EPOC.

3. The apparatus according to claim 1, wherein the communication with the remote server comprises providing to the remote server at least one of the following:

a gender of the user and an age of the user.

4. The apparatus according to claim 1, wherein the user-specific calibration metric comprises a mapping from a set of kinematic sensor data characteristics to a set of user-specific intensity levels.

5. The apparatus according to claim 1, wherein the at least one processing core is configured to determine the activity type identifier based on sensor data obtained during the activity.

6. The apparatus according to claim 5, wherein the at least one processing core is configured to obtain the sensor data from the kinematic sensor.

7. The apparatus according to claim 1, wherein the at least one processing core is configured to determine the activity type identifier based on an identifier of an activity-type specific utensil the user uses during the activity.

8. The apparatus according to claim 7, wherein the activity-type specific utensil comprises at least one of:

a tennis racket, a squash racket and boxing gloves.

9. A computer-implemented method comprising:

storing, in an apparatus, a user-specific calibration metric;

determining an activity type identifier of an activity a user is engaged in;

determining a user-specific intensity level of the activity, wherein determining the user-specific intensity level is based at least partly on the identifier of the activity type, the user-specific calibration metric and data obtained from a kinematic sensor or speed sensor, and

obtaining the user-specific calibration metric by causing the apparatus to participate in a calibration procedure, the calibration procedure including communicating kinematic or speed sensor data with a remote server and receiving the user-specific calibration metric from the remote server.

10. The method according to claim 9, wherein the user specific intensity level is determined in terms of excess post-exercise oxygen consumption, EPOC.

11. The method according to claim 9, wherein the user-specific calibration metric comprises a mapping from a set of kinematic sensor data characteristics to a set of user-specific intensity levels.

12. The method according to claim 9, wherein the communication with the remote server comprises providing to the remote server at least one of the following:

a gender of the user and an age of the user.

13. The method according to claim 9, wherein the activity type identifier is determined based on sensor data obtained during the activity.

14. The method according to claim 13, further comprising obtaining the sensor data from the kinematic sensor.

15. The method according to claim 9, wherein the activity type identifier is determined based on an identifier of an activity-type specific utensil the user uses during the activity.

16. The method according to claim 15, wherein the activity-type specific utensil comprises at least one of:

a tennis racket, a squash racket and boxing gloves.

17. A non-transitory computer readable medium having stored thereon a set of computer readable instructions that, when executed by at least one processor, cause an apparatus to at least:

store, in an apparatus, a user-specific calibration metric;

determine an activity type identifier of an activity a user is engaged in;

determine a user-specific intensity level of the activity, wherein determining the user-specific intensity level is based at least partly on the identifier of the activity type, the user-specific calibration metric and data obtained from a kinematic sensor or speed sensor, and

obtain the user-specific calibration metric by causing the apparatus to participate in a calibration procedure, the calibration procedure including communicating kinematic or speed sensor data with a remote server and receiving the user-specific calibration metric from the remote server.