Calendar integration methods and systems for presentation of events having combined activity and location information

• US 9,730,025 B2
• Filed: 04/25/2014
• Issued: 08/08/2017
• 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): RIVERA VARGAS, MANUEL A
• Application Number:
  US14/262,536
• Publication Number:
  US 20140229220A1
• Time in Patent Office: 1,201 Days
• Field of Search: 702160
• 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 5/222 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: G04B 25/00 Indicating the time by other means or by combined means electric or electromechanical indicating G04C ; illumination of dials or hands G04B19/30; indicating the time by acoustic means G04B21/00; arrangements producing acoustic signals at preselected times G04B23/00; continuously indicating the time optically by electric means G04C19/00; producing acoustic time signals by electrical means G04C21/00; devices for cooking eggs A47J29/00
• CPC Class Codes: G06Q 10/1095 Meeting or appointment
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: H04L 67/535 : Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 24/00 : Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 4/026 : using orientation information, e.g. compass
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services
• CPC Class Codes: H04W 64/00 : Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

A method includes receiving geo-location data collected over time period. The geo-location data is associated with a monitoring device. The method further includes receiving motion tracking data of the monitoring device. The motion tracking data is collected over time period. The method includes identifying one or more activities. The activities are identified based on inference rules that identify certain activities to have occurred when at least part of the motion tracking data is correlated to the received geo-location data. The method further includes defining a metric for one or more of the identified activities. The metric is associated to a calendar date. The method includes sending the metric to a calendar application with integration instructions. The integration instructions define the calendar date to which the metric will be added.

Claims

1. A method comprising:

under control of a monitoring device wearable by a user, the monitoring device comprising a device locator configured to record a geolocation of the monitoring device, a time measurement device configured to record a time, a user interface configured to render a calendar application, and a processor;

determining by the device locator of the monitoring device a geo-location of the monitoring device, the geo-location including a longitude and a latitude;

capturing, by the time measurement device, a time period for which the monitoring device is used at the geo-location;

capturing metric data using a motion sensor of the monitoring device, wherein the metric data comprises a displacement of the monitoring device over the time period with reference to an xyz co-ordinate system;

determining by the processor of the monitoring device that a type of activity was not performed by the user based on the geo-location and the metric data during the time period;

adding the type of activity not performed by the user to the calendar application associated with the time period to indicate the type of activity not performed by the user during the time period, wherein the type of activity is associated with traversing a pre-determined amount of distance; and

generating integration instructions comprising an indication of the type of activity not performed by the user, wherein the integration instructions cause the user interface of the monitoring device to render the calendar application with the indication of the type of activity not performed by the user during the time period.

2. The method of claim 1, further comprising:

receiving an activity to be filtered out from the calendar application;

comparing the received activity with the type of activity that is added to the calendar application to determine that there is a match between the received activity and the type of activity; and

filtering out the type of activity added to the calendar application based on the match between the received activity and the type of activity.

3. The method of claim 1, further comprising:

analyzing the geo-location to determine that the geo-location is associated with a pre-determined activity; and

associating an identifier of the pre-determined activity with the calendar application upon determining that the geo-location is associated with the pre-determined activity.

4. The method of claim 1, wherein the geo-location includes an altitude.

5. The method of claim 1, wherein the monitoring device includes a watch, or a wristband, or a bracelet.

6. The method of claim 1, wherein the calendar application further comprises a textual summary of the type of activity not performed by the user.

7. The method of claim 1, wherein the type of activity includes walking, or running, or a sports activity.

8. The method of claim 1, wherein the type of activity includes an active activity.

9. The method of claim 1, wherein the metric data 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.

10. The method of claim 1, wherein the time period includes minutes or hours, wherein the calendar application corresponds to a date.

11. The method of claim 1, further comprising:

determining that a motion performed by the user during an activity is consistent with the geo-location; and

confirming that the activity is of a second type upon determining that the motion performed during the activity is consistent with the geo-location.

12. The method of claim 1, wherein the type of activity is a first type of activity, the method further comprising:

adding the time period at which the motion sensor captured the metric data to the calendar application;

determining from another geo-location a descriptive location for a second type of activity performed by the user; and

adding the descriptive location for the second type of activity performed to the calendar application.

13. The method of claim 1, wherein the type of activity is a first type of activity, the method further comprising:

determining a second type of activity performed by the user; and

adding the second type of activity performed by the user to the calendar application associated with the time period to indicate the second type of activity performed by the user, wherein the second type of activity is associated with traversing the pre-determined amount of distance.

14. A method comprising:

receiving via a network interface device of a server a geo-location of a monitoring device, the monitoring device for use by a user, the geo-location including a longitude and a latitude;

receiving via the network interface device metric data captured using the monitoring device;

receiving via the network interface device a time period for which the monitoring device is used at the geo-location;

determining by a processor of the server a type of activity not performed by the user based on the geo-location and the metric data;

identifying by the processor of the server a location of the monitoring device based on the geo-location and the metric data, the identified location being a descriptive indicator of a place;

generating integration instructions comprising;

the descriptive indicator; and

the type of activity not performed by the user during the time period, wherein the type of activity is associated with traversing a pre-determined amount of distance; and

transmitting integration instructions via a wireless communication channel to the monitoring device, wherein the integration instructions cause a calendar application of a monitoring device to;

add the descriptive indicator and the type of activity not performed by the user to the calendar application, and

display the descriptive indicator and the type of activity not performed by the user on a user interface of the monitoring device.

15. The method of claim 14, further comprising:

receiving a location to be filtered out from the calendar application;

comparing the received location with the identified location that is added to the calendar application; and

filtering out the identified location added to the calendar application upon determining based on said comparing that a match between the received location and the identified location occurs.

16. The method of claim 14, further comprising adding to the calendar application the time period for which the monitoring device is used at the geo-location.

17. The method of claim 14, further comprising:

receiving, via the network interface, a location to be filtered out from the calendar application, wherein the location to be filtered out is provided by the user via an input device;

comparing the received location with the identified location that is added to the calendar application; and

filtering out the identified location added to the calendar application upon determining based on said comparing that a match between the received location and the identified location occurs.

18. The method of claim 14, further comprising:

receiving a location to be filtered out from the calendar application;

comparing the received location with the identified location that is added to the calendar application; and

filtering out the identified location added to the calendar application upon determining based on said comparing that a match between the received location and the identified location occurs,

wherein filtering out the identified location comprises removing the identified location from the calendar application before display of the calendar application.

19. The method of claim 14, wherein the place includes work, or home, or car, or gym.

20. The method of claim 14, wherein the monitoring device includes a watch, or a wristband, or a bracelet.

21. The method of claim 14, wherein the monitoring device is used for being carried by the user or being worn by the user.

22. The method of claim 14, wherein the metric data 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.

23. A method comprising:

determining by a device locator of a monitoring device geo-location data for a period of time, for which the monitoring device is used by a user, the geo-location data including a longitude and a latitude;

determining by a motion sensor of the monitoring device motion tracking data over the period of time, the motion tracking data including a metric;

identifying by a processor of the monitoring device a location at which the monitoring device is used and a type of activity not performed by the user for the period of time, the type of the activity and the location being identified based on inference rules that are based on a correlation between at least part of the motion tracking data and the received geo-location data, the location including a descriptive indicator of a place; and

generating integration instructions, the integration instructions defining a calendar application associated with the period of time to which the motion tracking data and the type of activity not performed by the user during the period of time, wherein the type of activity is associated with traversing a pre-determined amount of distance,

wherein the integration instructions causes the type of activity not performed by the user to be added to the period of time on the calendar application.

24. The original of claim 23, wherein the motion tracking data includes data identifying one or more positions of the monitoring device when worn by the user.

25. The method of claim 23, wherein the inference rules associate a speed between two geo-locations to the type of activity and a motion between two positions to the type of activity.

26. The method of claim 23, wherein at least part of the motion tracking data is correlated to the geo-location data when the geo-location data is received at a time the user is performing a motion, wherein the motion tracking data is determined based on the motion, wherein the inference rules are used to determine that the geo-location data identifies the location that is inconsistent with the type of activity identified using the motion tracking data.

27. A method comprising:

determining using a device locator of a computing device a geo-location for a monitoring device, the monitoring device configured to be carried by a user at the geo-location, the geo-location including a longitude and a latitude;

receiving via a network communication device of the computing device metric data calculated by the monitoring device;

receiving via the network communication device a time period for which the monitoring device is used at the geo-location;

determining by a processor of the computing device a type of activity not performed by the user based on the geo-location and the metric data;

generating integration instructions comprising;

the metric data, the time period, and the type of activity not performed by the user; and

transmitting the integration instructions via a wireless communication channel to the monitoring device, wherein the integration instructions causes the monitoring device to;

activate a calendar application, and

add to the calendar application;

the metric data, and

the type of activity not performed to the calendar application associated with the time period to indicate the type of activity not performed by the user during the time period, wherein the type of activity is associated with traversing a pre-determined amount of distance.

28. The method of claim 27, further comprising:

receiving a privacy setting associated with the calendar application from a user account of the user; and

applying the privacy setting to the calendar application to remove the type of activity from the calendar application.

29. The method of claim 28, further comprising:

determining that access to the calendar application is requested from another user account,

wherein applying the privacy setting is performed in response to determining that the access to the calendar application is requested from the other user account.

30. The method of claim 27, further comprising adding the time period for which the monitoring device is used at the geo-location to the calendar application.