Methods and systems for metrics analysis and interactive rendering, including events having combined activity and location information

• US 10,008,090 B2
• Filed: 07/31/2014
• Issued: 06/26/2018
• 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): Lee, Paul D
• Application Number:
  US14/448,991
• Publication Number:
  US 20140340221A1
• Time in Patent Office: 1,426 Days
• Field of Search: 702150, 702179
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/045 with a separable interface unit, e.g. for communication
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• 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 5/1118 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 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• 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: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G08B 21/18 Status alarms G08B21/02 takes precedence
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/40 : relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: H04W 4/02 : Services making use of location information
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services

Abstract

A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Claims

1. A method operable by a server, the server comprising a network interface configured to communicate with a monitoring device via a computer network, a memory device configured to store a rules database including inference rules of the monitoring device, and a processor, the method comprising:

receiving, via the network interface, one or more geo-locations associated with the monitoring device of a user;

receiving, from the monitoring device via the network interface, data regarding a movement of a body part of the user, the movement occurring within a time period, the monitoring device configured to attach to the user and including one or more sensors configured to collect the data regarding the movement of the body part;

identifying, by the processor, a first type of activity and a second type of activity based on a comparison of the data regarding the movement to patterns of movement corresponding to a plurality of predefined activity types, the second type of activity being different than the first type of activity;

determining, by the processor based on the inference rules, that the identified first and second types of activities are consistent with the one or more geo-locations, the inference rules correlating the data regarding the movement of the body part and the geo-location information of the monitoring device to the types of activities;

determining, by the processor, an amount of each of the first and second types of activities;

determining, by the processor, that the amount of the first type of activity is above a first threshold level;

determining, by the processor, that the amount of the second type of activity is above a second threshold level;

generating, by the processor, first and second textual descriptions indicative of the amounts of the first and second types of activities being above the first and second threshold levels, respectively, without including the amounts of the first and second types of activities;

associating, by the processor, the first and second textual descriptions with a calendar of an account of the user; and

providing, via the computer network and the network interface, access to the account to allow viewing of the first and second textual descriptions on a graphical user interface of a device associated with the account.

2. The method of claim 1, wherein the calendar of the user is identified by the account.

3. The method of claim 1, further comprising:

including at least one additional an activity identifier for a calendar date of the calendar of the user, the calendar being identified by the account.

4. The method of claim 1, further comprising:

including at least one additional activity identifier associated with one of the first and second textual descriptions for a calendar date of the calendar of the user, the calendar being identified by the account.

5. The method of claim 1, further comprising:

generating a location identifier that corresponds to the one or more geo-locations; and

associating the location identifier with the amount of the first type of activity.

6. The method of claim 1, wherein the amount of the activity of the first type is to be represented as a level of the activity of the first type during the time period.

7. The method of claim 1, further comprising:

identifying an activity identifier, and for the activity identifier generating a level of the activity of the second type,

wherein access to the account of the user enables viewing of the activity identifier and level of the activity of the second type.

8. The method of claim 1, further comprising identifying a graphical icon representing the first type of activity.

9. The method of claim 1, further comprising:

analyzing the one or more geo-locations of where the movement of the body part occurred, the analyzing of the one or more geo-locations used to select a location identifier for the one or more geo-locations;

associating the location identifier with a calendar date of the calendar, wherein providing access to the account of the user is performed to allow viewing of the location identifier as being associated with the calendar date.

10. The method of claim 1, further comprising:

associating the first type of activity identified by an activity identifier with a calendar date of the calendar and a calendar time of the calendar,

wherein providing access to the account is performed to allow viewing of the activity identifier as being associated with the calendar date and the calendar time.

11. A system comprising:

a network interface configured to communicate with a monitoring device via a computer network;

a memory device configured to store a rules database including inference rules of the monitoring device; and

a processor coupled to the memory device, the processor configured to;

receive, via the network interface, one or more geo-locations associated with the monitoring device of a user;

receive, from the monitoring device via the network interface, data regarding a movement of a body part of the user, the movement occurring within a time period, the monitoring device configured to attach to the user and including one or more sensors configured to collect the data regarding the movement of the body part;

identify a first type of activity and a second type of activity based on a comparison of the data regarding the movement to patterns of movement corresponding to a plurality of predefined activity types, the second type of activity being different than the first type of activity;

determine, based on the inference rules, that the identified first and second types of activities are consistent with the one or more geo-locations, the inference rules correlating the data regarding the movement of the body part and the geo-location information of the monitoring device to the types of activities;

determine an amount of each of the first and second types of activities;

determine that the amount of the first type of activity is above a first threshold level;

determine that the amount of the second type of activity is above a second threshold level;

generate first and second textual descriptions indicative of the amounts of the first and second types of activities being above the first and second threshold levels, respectively, without including the amounts of the first and second types of activities;

associate the first and second textual descriptions with a calendar of an account of the user; and

provide, via the computer network and the network interface, access to the account to allow viewing of the first and second textual descriptions on a graphical user interface of a device associated with the account.

12. The system of claim 11, wherein the calendar of the user is identified by the account.

13. The system of claim 11, wherein the processor is configured to include an activity identifier for a calendar date of the calendar of the user, the calendar being identified by the account.

14. The system of claim 11, wherein the processor is configured to include an activity identifier associated with one of the first and second textual descriptions for a calendar date of the calendar of the user, the calendar being identified by the account.

15. The system of claim 11, wherein the processor is configured to:

generate a location identifier that corresponds to the one or more geo-locations; and

associate the location identifier with the amount of the first type of activity.

16. The system of claim 11, wherein the amount of the activity of the first type is to be represented as a level of the activity of the first type during the time period.

17. The system of claim 11, wherein the processor is configured to:

identify an activity identifier, and for the activity identifier generate a level of the activity of the second type,

wherein access to the account of the user enables viewing of the activity identifier and level of the activity of the second type.

18. The system of claim 11, wherein the processor is configured to identify a graphical icon representing of the first type of activity.

19. The system of claim 11, wherein the processor is configured to:

analyze the one or more geo-locations of where the movement of the body part occurred, the analyzing of the one or more geo-locations used to select a location identifier for the one or more geo-locations;

associate the location identifier with a calendar date of the calendar,

wherein providing access to the account of the user is performed to allow viewing of the location identifier as being associated with the calendar date.

20. The system of claim 11, wherein the processor is configured to:

associate the first type of activity identified by an activity identifier with a calendar date of the calendar and a calendar time of the calendar,

wherein the access to the account is performed to allow viewing of the activity identifier as being associated with the calendar date and the calendar time.

21. A non-transitory computer readable medium containing program instructions, wherein execution of the program instructions by one or more processors of a computer system causes the one or more processors to carry out a plurality of operations of:

receiving, via a network interface of the computer system, one or more geo-locations associated with a monitoring device of a user;

receiving, from the monitoring device via the network interface, data regarding a movement of a body part of the user, the movement occurring within a time period, the monitoring device configured to attach to the user and including one or more sensors configured to collect the data regarding the movement of the body part;

identifying a first type of activity and a second type of activity the user based on a comparison of the data regarding the movement to patterns of movement corresponding to a plurality of predefined activity types, the second type of activity being different than the first type of activity;

determining, based on inference rules of the monitoring device stored in a rules database on the non-transitory computer readable medium, that the identified first and second types of activities are consistent with the one or more geo-locations, the inference rules correlating the data regarding the movement of the body part and the geo-location information of the monitoring device to the types of activities;

determining an amount of each of the first and second types of activities;

determining that the amount of the first type of activity is above a first threshold level;

determining that the amount of the second type of activity is above a second threshold level;

generating first and second textual descriptions indicative of the amounts of the first and second types of activities being above the first and second threshold levels without including the amounts of the first and second types of activities;

associating the first and second textual descriptions with a calendar of an account of the user; and

providing, via a computer network and the network interface, access to the account to allow viewing of the first and second textual descriptions on a graphical user interface of a device associated with the account.

22. The non-transitory computer readable medium of claim 21, wherein the calendar of the user is identified by the account.

23. The non-transitory computer readable medium of claim 21, wherein the operations further comprise:

including an activity identifier for a calendar date of the calendar of the user, the calendar being identified by the account.

24. The non-transitory computer readable medium of claim 21, wherein the operations further comprise:

including an activity identifier associated with one of the first and second textual descriptions for a calendar date of the calendar of the user, the calendar being identified by the account.

25. The non-transitory computer readable medium of claim 21, wherein the operations further comprise:

generating a location identifier that corresponds to the one or more geo-locations; and

associating the location identifier with the amount of the first type of activity.

26. The non-transitory computer readable medium of claim 21, wherein the amount of the activity of the first type is to be represented as a level of the activity of the first type during the time period.

27. The non-transitory computer readable medium of claim 21, wherein the operations further comprise:

identifying an activity identifier, and for the activity identifier generating a level of the activity of the second type,

wherein access to the account of the user enables viewing of the activity identifier and level of the activity of the second type.

28. The non-transitory computer readable medium of claim 21, further comprising identifying a graphical icon representing the first type of activity.

29. The non-transitory computer readable medium of claim 21, wherein the operations further comprise:

analyzing the one or more geo-locations of where the movement of the body part occurred, the analyzing of the one or more geo-locations used to select a location identifier for the one or more geo-locations;

associating the location identifier with a calendar date of the calendar,

wherein providing access to the account of the is performed to allow viewing of the location identifier as being associated with the calendar date.

30. The non-transitory computer readable medium of claim 21, wherein the operations further comprise:

associating the first type of activity identified by the activity identifier with a calendar date of the calendar and a calendar time of the calendar,

wherein providing access to the account is performed to allow viewing of the activity identifier as being associated with the calendar date and the calendar time.