Activity intensity level determination
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.
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.