Methods and systems for generation and rendering interactive events having combined activity and location information

• US 9,795,323 B2
• Filed: 05/15/2015
• Issued: 10/24/2017
• 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): Benlagsir, Amine
• Application Number:
  US14/714,128
• Publication Number:
  US 20150262467A1
• Time in Patent Office: 893 Days
• Field of Search: 34087001, 34087007
• CPC Class Codes: A61B 2503/10 Athletes
• 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 5/0002 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 5/0022 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• 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 5/4809 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 5/742 using visual displays A61B5/339 takes precedence
• 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: G06Q 10/10 : Office automation; Time management
• CPC Class Codes: G06T 11/206 : Drawing of charts or graphs
• 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
• CPC Class Codes: H04W 4/025 : using location based information parameters

Abstract

A computer-implemented method is described. The computer-implemented method is used for populating data of a graphical user interface (GUI). The computer-implemented method includes generating one or more graphical elements of one or more activities captured by a monitoring device. The monitoring device is usable by a user during the capturing. The method further includes generating a timeline including a time period over which the activities are performed. The timeline includes a chronological order of time within the time period. The method further includes generating an activity symbol for one or more of the activities performed during the time period. The activity symbol has an image that is graphically overlaid on the graphical elements of the activities.

Claims

1. A monitoring device comprising:

a motion sensor configured to measure an amount of movement of a user;

a heart rate measurement sensor configured to measure a heart rate of the user;

a time measurement device configured to determine an amount of time during which the heart rate is measured;

a display device; and

a processor coupled to the display device, the motion sensor, the heart rate measurement sensor, and the time measurement device, the processor configured to execute a computer readable code accessed from a memory device of the monitoring device to;

identify the amount of time measured by the time measurement device, wherein the amount of time comprises;

a first portion of the amount of time during which the user is sleeping, and

a second portion of the amount of time during which the user is not sleeping;

determine a number of calories burned by the user during the amount of time;

identify the second portion of the amount of time during which the user is not sleeping based on the amount of movement, the number of calories burned by the user, and the heart rate of the user during the amount of time;

determine the heart rate of the user, the number of calories burned by the user, and the amount of movement of the user during the second portion of the amount of time;

classify an activity performed by the user during the second portion of the amount of time for which the user is not sleeping as a sedentary activity based on the determined heart rate of the user, the number of calories burned by the user, and the amount of movement of the user during the second portion of the amount of time;

determine a non-sedentary activity to be performed by the user upon said classifying the activity as the sedentary activity, wherein the non-sedentary activity increases an activity level of the user; and

generate a notification for presentation on the display device recommending the user to increase the activity level by performing the non-sedentary activity, wherein the display device is further configured to display an indication of a time interval during the second portion of the amount of time for which the sedentary activity has occurred.

2. The monitoring device of claim 1, wherein the processor is further configured to classify the activity as the sedentary activity upon determining that the user is not walking, not running, not moving around, or not in a vehicle.

3. The monitoring device of claim 1, wherein the motion sensor is an accelerometer.

4. The monitoring device of claim 1, wherein the monitoring device is a wrist watch, or a wristband, or a bracelet.

5. The monitoring device of claim 1, wherein the display device includes a display screen to display graphical user interface data that includes activity levels of the sedentary activity performed by the user.

6. The monitoring device of claim 1, wherein the indication of the time interval comprises a time identifier for the sedentary activity.

7. The monitoring device of claim 1, wherein the time measurement device is further configured to determine a quantity of time for a number of positions that are reached during the amount of movement that is measured by the motion sensor.

8. A method comprising:

receiving a plurality of activity parameters, wherein the activity parameters include an amount of movement of a user and a physiological parameter comprises a heart rate of the user that are collected by a monitoring device with one or more sensors, wherein the monitoring device is configured to be coupled to a body of the user;

determining a number of calories burned by the user;

determining an amount of time during which the physiological parameter of the user is measured;

identify a first portion of the amount of time during which the user is sleeping;

identify a second portion of the amount of time during which the user is not sleeping;

determining the second portion of the amount of time during which the user is not sleeping based on the activity parameters and the number of calories burned by the user;

classifying an activity performed by the user during the second portion of the amount of time of the user is not sleeping as a sedentary activity based on an analysis of the activity parameters and the number of calories burned by the user;

determining a non-sedentary activity to be performed by the user upon said classifying the activity as the sedentary activity, wherein the non-sedentary activity increases an activity level of the user; and

generating a notification recommending the user to increase the activity level by performing the non-sedentary activity; and

displaying an indication of a time interval during the second portion of the amount of time for which the sedentary activity has occurred.

9. The method of claim 8, wherein the monitoring device is a wrist watch, or a wristband, or a bracelet.

10. The method of claim 8, wherein said classifying the activity as the sedentary activity includes determining at least one of that the user is not walking, not running, not moving around, and not in a vehicle.

11. The method of claim 8, wherein the one or more sensors include a motion sensor and a heart rate measurement sensor.

12. The method of claim 8, wherein the one or more sensors include an environmental sensor and a biological sensor.

13. The method of claim 8, further comprising displaying information describing the sedentary activity on a graphical user interface.

14. The method of claim 8, wherein the indication of the time interval comprises a time identifier for the sedentary activity.

15. A non-transitory computer-readable medium containing programming instructions that cause a computer processor of a monitoring device to perform operations of:

receiving a plurality of activity parameters, wherein the activity parameters include an amount of movement of a user and a physiological parameter comprises a heart rate of the user that are collected by the monitoring device with one or more sensors, wherein the monitoring device is configured to be coupled to a body of the user;

determining a number of calories burned by the user;

determining an amount of time during which the physiological parameter of the user is measured;

identify a first portion of the amount of time during which the user is sleeping;

identify a second portion of the amount of time during which the user is not sleeping;

determining the second portion of the amount of time during which the user is not sleeping based on the activity parameters and the number of calories burned by the user;

classifying an activity performed by the user during the second portion of the amount of time of the user is not sleeping as a sedentary activity based on an analysis of the activity parameters and the number of calories burned by the user;

determining a non-sedentary activity to be performed by the user upon said classifying the activity as the sedentary activity, wherein the non-sedentary activity increases an activity level of the user; and

generating a notification recommending that the user to perform increase the activity level by performing the non-sedentary activity; and

displaying an indication of a time interval during the second portion of the amount of time for which the sedentary activity has occurred.

16. The non-transitory computer-readable medium of claim 15, wherein the monitoring device is a wrist watch, or a wristband, or a bracelet.

17. The non-transitory computer-readable medium of claim 15, wherein the classifying the activity performed by the user as the sedentary activity includes determining at least one of that the user is not walking, not running, not moving around, or not in a vehicle.

18. The non-transitory computer-readable medium of claim 15, wherein the one or more sensors include a motion sensor and a heart rate measurement sensor.

19. The non-transitory computer-readable medium of claim 15, wherein the operations further comprise displaying information describing the sedentary activity on a graphical user interface.

20. The non-transitory computer readable medium of claim 15, wherein the indication of the time interval comprises a time identifier for the sedentary activity.