Methods and systems for identification of event data having combined activity and location information of portable monitoring devices

• US 9,778,280 B2
• Filed: 12/03/2014
• Issued: 10/03/2017
• Est. Priority Date: 09/30/2010
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Yuen, Shelten Gee Jao, Park, James, Lee, Hans Christiansen
• Primary Examiner(s): Raymond, Edward
• Application Number:
  US14/559,653
• Publication Number:
  US 20150088457A1
• Time in Patent Office: 1,035 Days
• Field of Search: 702160, 702189
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• 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 5/1117 Fall detection
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: G01C 22/006 Pedometers
• CPC Class Codes: G01P 13/00 Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass

Abstract

Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

Claims

1. A method comprising:

receiving by a server coupled to a computer network activity data of a monitoring device that is configured to be worn by a user, the activity data indicating a plurality of amounts of movements of the monitoring device while being engaged in different activities during a day;

receiving by the server via the computer network geo-location data for the monitoring device, wherein the geo-location data is obtained from a global positioning system;

receiving by the server via the computer network times at which the activity data is gathered by the monitoring device;

storing by the server the activity data, the times, and the geo-location data; and

identifying by the server two or more events during the day by analyzing the activity data, the times, and the geo-location data for the day, wherein one of the two or more events includes activity levels representing a subset of the activity data and includes an identifier of a location at which the activity data of the subset is gathered, wherein another one of the two or more events includes activity levels representing another subset of the activity data and includes another identifier of one of the different activities,

wherein identifying the two or more events includes identifying within the one of the two or more events during the day a time of entry at the location by the monitoring device and a time of exit from the location by the monitoring device, wherein the time of entry is one of the times received and the time of exit is another one of the times received,

wherein identifying the time of entry comprises;

calculating a speed of the monitoring device along a path to the location based on the geo-location data; and

computing the time of entry at the location from the speed.

2. The method of claim 1, further comprising combining amounts of time of a common activity over a period of time to indicate a combined amount of time for which the common activity is performed.

3. The method of claim 1, further comprising combining activity levels of one or more same activities over a period of time to indicate a combined activity level of the one or more same activities.

4. The method of claim 1, further comprising:

combining amounts of time of one or more activities performed at a common location over one or more time periods to indicate a combined amount of time for which the one or more activities are performed at the common location.

5. The method of claim 1, further comprising:

combining activity levels of performance of one or more activities at a common location over one or more periods of time.

6. The method of claim 1, further comprising receiving from the user a boundary of the location of the monitoring device, the boundary including at least one longitude and latitude of the monitoring device other than a longitude and latitude of the monitoring device identified by a device locator of the monitoring device.

7. The method of claim 1, further comprising receiving by the server via the computer network from the monitoring device a size of the location of the monitoring device after a selection of the size of the location by the user, wherein the selection of the size of the location is performed via a user interface of the monitoring device.

8. The method of claim 1, wherein the one of the different activities includes running, or walking, or jogging, or sleeping, or a sports activity.

9. The method of claim 1, wherein the monitoring device is wearable as a watch, or a wrist band, or a clip.

10. The method of claim 1, wherein the user is a person or an animal.

11. The method of claim 1, wherein the movements are of a body part of the user.

12. The method of claim 1, wherein the computing further comprises:

determining, based on the speed, an amount of time taken by the monitoring device to move from a first geo-location to a second geo-location associated with entry at the location; and

adding the amount of time to a time at which the monitoring device was at the first geo-location, to thereby determine the time of entry at the location.

13. The method of claim 1, wherein the geo-location data includes a latitude and a longitude of the monitoring device.

14. A method comprising:

detecting activity data of a monitoring device that is configured to be worn by a user, the activity data including an amount of movement of the monitoring device while being engaged in different activities during a day;

obtaining geo-location data for the monitoring device, wherein the geolocation data is obtained from a global positioning system;

calculating times at which the activity data is detected by the monitoring device;

storing the activity data, the times, and the geo-location data; and

transferring, from time to time, the activity data corresponding to the geolocation data, the geo-location data, and the times to a server, wherein after said transferring, the activity data, the times, and the geolocation data are analyzed to define two or more events during the day, wherein one of the two or more events includes activity levels representing a subset of the activity data and includes an identifier of a location at which the activity data of the subset is gathered, wherein another one of the two or more events includes activity levels representing another subset of the activity data and includes another identifier of one of the different activities,

wherein to define the two or more events, a time of entry at the location by the monitoring device and a time of exit from the location by the monitoring device are identified within the one of the two or more events during the day, wherein the time of entry is one of the times calculated and the time of exit is another one of the times calculated,

wherein identifying the time of entry comprises;

calculating a speed of the monitoring device along a path to the location based on the geo-location data; and

computing the time of entry at the location from the speed.

15. The method of claim 14, wherein transferring from time to time comprises sending the activity data periodically or aperiodically.

16. The method of claim 14, wherein transferring from time to time comprises sending the activity data via a wired medium or a wireless medium.

17. The method of claim 14, wherein the geo-location data includes a longitude, a latitude, and an altitude of the monitoring device.

18. The method of claim 14, wherein the monitoring device is wearable as a watch, or a wrist band, or a clip.

19. The method of claim 14, wherein the geo-location data includes a latitude and a longitude of the monitoring device.

20. A portable apparatus comprising:

a motion sensor for determining a plurality of amounts of movements of a user, the user having a user account;

a time measurement device coupled to the motion sensor, the time measurement device for determining a time period of a day during which the movements occurred;

a device locator coupled to the time measurement device and the motion sensor, wherein the device locator is configured to calculate geo-location data of the portable apparatus during the time period; and

a processor coupled to the motion sensor,

wherein the processor is configured to determine two or more events during the day by analyzing the movements, the geo-location data, and the time period, wherein one of the two or move events includes a group of activity data over a portion of the time period and includes a location of the user over the portion of the time period,

wherein to determine the two or more events, the processor is configured to identify within the one of the two or more events during the day a time of entry at the location by the portable apparatus and a time of exit from the location by the portable apparatus, wherein the time of entry occurs during the time period and the time of exit occurs during the time period,

wherein to identify the time of entry, the processor is configured to;

i) calculate a speed of the portable apparatus along a path to the location based on the geo-location data and ii) compute the time of entry at the location from the speed,

wherein the processor is configured to associate the group of activity data with an activity, wherein other one of the two or more events includes another group of activity data over another portion of the time period, and

wherein the processor is configured to associate the other group of activity data with another different activity, the processor for associating the group of activity data, the other group of activity data, and the location with the user account.

21. The portable apparatus of claim 20, wherein the processor is configured to allow access to the group of activity data and the location when the user account is accessed.

22. The portable apparatus of claim 20, wherein the geolocation data includes a latitude and a longitude.

23. The portable apparatus of claim 20, wherein the user account is configured to be accessed with a user name and a password.

24. The portable apparatus of claim 20, wherein the motion sensor includes an accelerometer, or a gyroscope, or a rotary encoder, or a displacement sensor, or a pedometer, or an altimeter, or a linear motion sensor, or an angular motion sensor, or a multi-axis motion sensor, or a combination thereof.

25. The portable apparatus of claim 20, wherein the processor is configured to determine the group of activity data over the portion of the time period and the location of the user over the portion of the time period based on a portion of the amounts of movements and a portion of the geo-location data.