Methods and Systems for Metrics Analysis and Interactive Rendering, Including Events Having Combined Activity and Location Information

• US 20140340221A1
• Filed: 07/31/2014
• Published: 11/20/2014
• 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
• Granted Patent: US 10,008,090 B2
• Time in Patent Office: Days
• US Class Current: 340/539.13
• 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 comprising:

receiving one or more geo-locations associated with a monitoring device when used by a user;

receiving one or more motion actions detected by the monitoring device;

categorizing the motion actions using characteristics of the motion actions and geo-locations of where the motion actions occurred, the categorizing defines an activity identifier for at least some of the motion actions;

generating a level of activity for the activity identifier, the level of activity configured to change over time as data for additional motion actions is received and is associated to the activity identifier for motion actions detected by the monitoring device; and

providing access to a user account of the user to allow viewing of the activity identifier and the level of activity, wherein the activity identifier and the level of activity is rendered on a graphical user interface of a device accessing the user account, the method being executed by a processor.

2. The method of claim 1, further comprising:

generating a descriptive statement regarding the activity identifier, the descriptive statement is a summary of the level of activity for the activity identifier.

3. The method of claim 2, further comprising:

including the activity identifier and the descriptive statement to at least one calendar date of a calendar of the user, the calendar of the user being identified by the user account.

4. The method of claim 2, further comprising:

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

5. The method of claim 2, further comprising:

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

6. The method of claim 1, further comprising:

generating a location identifier that corresponds to the geo-location of the activity identifier; and

associating the location identifier and the activity identifier together with the level of activity for the activity identifier.

7. The method of claim 1, wherein the level of activity includes a plurality of activity segments during a period of time, where some of the activity segments are lower or higher than a remaining one of the activity segments during the period of time.

8. The method of claim 1,

wherein the categorizing acts to define an additional activity identifier, and for the additional activity identifier generating a level of activity,

wherein access to the user account of the user enables viewing of the additional activity identifier and associated level of activity,

wherein the activity identifier and the additional activity identifier are for different activities.

9. The method of claim 1, wherein the activity identifier is a graphical icon representing a type of activity.

10. The method of claim 1, further comprising:

generating a descriptive statement regarding the activity identifier, the descriptive statement is a summary of the level of activity for the activity identifier; and

generating an additional descriptive statement regarding an activity different from the activity identified by the activity identifier, the additional descriptive statement is a summary of a level of the different activity;

associating the descriptive statement and the additional descriptive statement with a calendar date; and

providing for display the descriptive statement, the additional descriptive statement, and the calendar date to the device accessing the user account.

11. The method of claim 1, further comprising:

analyzing the geo-locations of where the motion actions occurred, the analyzing of the geo-locations is used to select a location identifier for one or more of the geo-locations;

associating the location identifier and the activity identifier with a calendar date; and

providing access to the user account of the user to view the activity identifier and the location identifier as being associated with the calendar date.

12. The method of claim 1, further comprising:

associating an activity identified by the activity identifier with a calendar date and a calendar time; and

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

13. A method comprising:

obtaining one or more geo-locations of a monitoring device when used by a user;

determining one or more spatial positions of the monitoring device;

determining one or more times of occurrence corresponding to the spatial positions and the geo-locations; and

generating metric data based on the times of occurrence, the geo-locations, and the spatial positions;

wherein the metric data includes levels of an activity performed by the user,

wherein the levels include an amount of stairs ascended by the user, or an amount of stairs descended by the user, or an amount of steps walked or ran by the user, or an amount of calories burned by the user, or an amount of distance traveled by the user, or an amount of hours slept by the user, or an amount of time for which the user is active, or a time at which the user wakes up, or a time at which the user goes to bed, or an amount of time spent by the user at a location, or an amount of time taken by the user to perform the activity, or a combination thereof.

14. The method of claim 13, further comprising generating a description summarizing the metric.

15. The method of claim 13, further comprising determining a statistical metric of the activity performed at a location over a time horizon based on the times of occurrence.

16. The method of claim 13, further comprising generating a description summarizing the statistical metric.

17. A method comprising:

receiving one or more geo-locations of a monitoring device, the monitoring device usable by a user;

receiving one or more spatial positions of the monitoring device;

receiving one or more times of occurrence corresponding to the spatial positions and the geo-locations;

determining activity data based on the times of occurrence, the geo-locations, and the spatial positions, the activity data including metric data that includes one or more activity levels, the activity data including one or more classes of activities detected by the monitoring device; and

determining one or more locations of the monitoring device based on the times of occurrence, the geo-locations, and the spatial positions,

wherein the activity levels include an amount of stairs ascended by the user, or an amount of stairs descended by the user, or an amount of steps walked or ran by the user, or an amount of calories burned by the user, or an amount of distance traveled by the user, or an amount of hours slept by the user, or an amount of time for which the user is active, or a time at which the user wakes up, or a time at which the user goes to bed, or an amount of time spent by the user at the locations, or an amount of time taken by the user to perform an activity, or a combination thereof.

18. The method of claim 17, further comprising generating a description summarizing the metric data.

19. The method of claim 17, further comprising determining a statistical metric of one or more activities performed at the locations over a time horizon based on the times of occurrence.

20. The method of claim 19, further comprising generating a description summarizing the statistical metric.

21. The method of claim 17, wherein the spatial positions are processed to map a portion of spatial positions to one of the activities.

22. The method of claim 17, wherein the monitoring device is wearable as a watch, or a wrist band, or a clip.

23. The method of claim 17, wherein the spatial positions include one or more positions that indicate a motion of the monitoring device.

24. A method comprising:

receiving spatial positions and geo-locations of a monitoring device, the monitoring device configured to be worn by a user, the spatial positions and geo-locations measured during a time period;

generating metric data based on the geo-locations and the spatial positions, wherein the metric data includes a level of an activity performed by the user;

generating additional metric data corresponding to an additional time period;

adding the metric data and the additional metric data to generate summed metric data;

adding the time period and the additional time period to generate a summed time period;

generating a description summarizing the summed metric data; and

sending for display the description, the summed metric data, and the summed time period.

25. The method of claim 24, wherein each level of the activity includes an amount of stairs ascended by the user, or an amount of stairs descended by the user, or an amount of steps walked or ran by the user, or an amount of calories burned by the user, or an amount of distance traveled by the user, or an amount of hours slept by the user, or an amount of time for which the user is active, or an amount of time spent by the user at a location, or an amount of time taken by the user to perform the activity.

26. The method of claim 24, wherein the description summarizing the metric includes a sentence.

27. The method of claim 24, further comprising:

generating an additional description summarizing additional summed metric data; and

sending the additional description and the additional summed metric data for display with the description summarizing the summed metric data, the summed metric data, and the summed time period.

28. The method of claim 24, wherein the monitoring device is wearable as a watch, or a wrist band, or a clip.

29. The method of claim 24, wherein the additional metric data corresponds to the additional time period when the additional metric data is generated from additional spatial positions and additional geo-locations of the monitoring device, the additional spatial positions and the additional geo-locations measured during the additional time period.

30. The method of claim 24, wherein sending for display comprises sending for display on a computing device or the monitoring device.