GENERATION OF SEDENTARY TIME INFORMATION BY ACTIVITY TRACKING DEVICE

• US 20170243508A1
• Filed: 02/19/2016
• Published: 08/24/2017
• Est. Priority Date: 02/19/2016
• Status: Abandoned Application

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Cheng, Yeqing, Baiani, Yasaman, Arnold, Jacob Antony, Russell, Allison Maya, McLean, Alan, Paine, Sumner, Myers, Nicholas
• Application Number:
  US15/048,965
• Publication Number:
  US 20170243508A1
• Time in Patent Office: Days
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip

Abstract

Methods, systems, and computer programs are presented for reporting sedentary time information. One method includes operations for capturing motion data using one or more sensors of an activity tracking device, and for determining one or more sedentary time periods associated where the user is sedentary. Further, the method includes an operation for determining a first set of one or more time intervals when the user is asleep, and for determining a second set of one or more time intervals when the user is not wearing the activity tracking device. The longest sedentary period for a day where the user is sedentary, awake, and wearing the activity tracking device, is calculated based on excluding the first and the second sets of one or more time intervals from the one or more sedentary time periods. Information describing the longest sedentary period is displayed on the activity tracking device.

Claims

1. A method, comprising:

capturing motion data using one or more sensors of an activity tracking device when worn by a user, the activity tracking device having a memory for storing computer instructions and a processor for executing the computer instructions, the processor configured for capturing the motion data;

determining using the processor, based on the motion data, one or more sedentary time periods associated with motion data indicating that the user is sedentary;

determining using the processor, based on output of the one or more sensors, a first set of one or more time intervals when the user is asleep;

determining using the processor, based on the output of the one or more sensors, a second set of one or more time intervals when the user is not wearing the activity tracking device;

calculating using the processor a longest sedentary period for a day where the user is sedentary, awake, and wearing the activity tracking device, based on excluding the first set of one or more time intervals and the second set of one or more time intervals from the one or more sedentary time periods, the longest sedentary period being a contiguous period of time; and

displaying on the activity tracking device using the processor information describing the longest sedentary period.

2. The method of claim 1, wherein the calculating of the sedentary time periods further comprises:

measuring using the processor a metabolic equivalent of task (MET) of the user based on the motion data, wherein the MET is a physiological measure expressing an energy cost of physical activity, the MET being defined as a ratio of metabolic rate to a reference metabolic rate.

3. The method of claim 2, wherein the user is determined to be sedentary when the MET is below a predetermined MET threshold, wherein the user is determined to be active when the MET is above the predetermined MET threshold.

4. The method of claim 1, wherein the longest sedentary period is presented on a graph bar next to a value of the longest sedentary period.

5. The method of claim 1, further comprising:

determining using the processor an average longest sedentary period over a predefined period of days.

6. The method of claim 5, comprising:

displaying using the processor on the activity tracking device a graph bar for the average longest sedentary period next to a value of the average longest sedentary period.

7. The method of claim 6, further comprising:

establishing using the processor a connection from the activity tracking device to a computing device; and

sending using the processor data of the activity tracking device to the computing device, the data including information to enable the computing device to display the average longest sedentary period.

8. The method of claim 1, comprising:

determining using the processor a daily breakdown of percentage of sedentary time and percentage of active time for the day, the daily breakdown being for times of the day when the user is awake and wearing the activity tracking device; and

displaying on the activity tracking device using the processor information describing the daily breakdown.

9. The method of claim 8, wherein the daily breakdown is presented on a graph bar divided into a first portion for the percentage of active time and a second portion for the percentage of sedentary time.

10. The method of claim 1, comprising:

establishing using the processor a connection from the activity tracking device to a computing device; and

sending using the processor data of the activity tracking device to the computing device, the data including information to enable the computing device to display the calculated longest sedentary period.

11. The method of claim 10, wherein the computing device includes a graphical user interface to present a graph for longest sedentary periods for days in a week, wherein the graphical user interface further presents the calculated longest sedentary period.

22. The method of claim 1, wherein the information displayed on the activity tracking device includes a start time and an end time to the longest sedentary period.

23. The method of claim 1, further comprising:

determining using the processor, based on the motion data, a third set of one or more time intervals associated with the motion data indicating that the user is sedentary, each of the time intervals in the third set being less than a threshold length;

calculating using the processor a total sedentary time for the day based on excluding the first, second, and third sets of one or more time intervals from the one or more sedentary time periods; and

displaying on the activity tracking device using the processor, information describing the total sedentary time.

12. An activity tracking device comprising:

one or more sensors configured to capture motion data when a user wears the activity tracking device;

a display for presenting the motion data;

a processor; and

a memory having program instructions executable by the processor, wherein the processor determines, based on the motion data, one or more sedentary time periods associated with motion data indicating that the user is sedentary;

wherein the processor determines, based on output of the one or more sensors, a first set of one or more time intervals when the user is asleep, and the processor determines, based on the output of the one or more sensors, a second set of one or more time intervals when the user is not wearing the activity tracking device;

wherein the processor calculates, based on the motion data, a longest sedentary period of a day where the user is sedentary, awake, and wearing the activity tracking device based on excluding the first set of one or more time intervals and the second set of one or more time intervals from the one or more sedentary time periods, the longest sedentary period being a contiguous period of time; and

wherein the display presents information describing the longest sedentary period.

13. The activity tracking device of claim 12,

wherein the processor measures a metabolic equivalent of task (MET) of the user based on the motion data, wherein the MET is a physiological measure expressing an energy cost of physical activity, the MET being defined as a ratio of metabolic rate to a reference metabolic rate,

wherein the user is determined to be sedentary when the MET is below a predetermined MET threshold,

wherein the user is determined to be active when the MET is above the predetermined MET threshold.

14. The activity tracking device of claim 12, wherein the longest sedentary period is presented on a graph bar next to a value of the longest sedentary period.

15. The activity tracking device of claim 12, wherein the processor determines an average longest sedentary period over a predefined period of days, and the display presents a graph bar for the average longest sedentary period next to a value of the average longest sedentary period.

16. The activity tracking device of claim 12,

wherein the processor determines a daily breakdown of percentage of sedentary time and percentage of active time for the day, the daily breakdown being for times of the day when the user is awake and wearing the activity tracking device,

wherein the display presents information describing the daily breakdown,

wherein the daily breakdown is presented on a graph bar divided into a first portion for the percentage of active time and a second portion for the percentage of sedentary time.

17. The activity tracking device of claim 12, comprising:

a wireless transceiver for establishing a connection from the activity tracking device to a computing device to send data to the computing device, the data including information to enable the computing device to display the calculated longest sedentary period.

18. A non-transitory computer-readable storage medium storing a computer program, the computer-readable storage medium comprising:

program instructions for capturing motion data using a processor and one or more sensors of an activity tracking device when worn by a user, the activity tracking device having a memory for storing computer instructions of the computer program and the processor for executing the computer instructions;

program instructions for determining using the processor, based on the motion data, one or more sedentary time periods associated with motion data indicating that the user is sedentary;

program instructions for determining using the processor, based on output of the one or more sensors, a first set of one or more time intervals when the user is asleep;

program instructions for determining using the processor, based on the output of the one or more sensors, a second set of one or more time intervals when the user is not wearing the activity tracking device;

program instructions for calculating using the processor a longest sedentary period for a day where the user is sedentary, awake, and wearing the activity tracking device, based on excluding the first set of one or more time intervals and the second set of one or more time intervals from the one or more sedentary time periods, the longest sedentary period being a contiguous period of time; and

program instructions for displaying on the activity tracking device using the processor information describing the longest sedentary period.

19. The computer-readable storage medium of claim 18, wherein the determining of the sedentary time periods further comprises,

program instructions for measuring using the processor a metabolic equivalent of task (MET) of the user based on the motion data, wherein the MET is a physiological measure expressing an energy cost of physical activity, the MET being defined as a ratio of metabolic rate to a reference metabolic rate.

20. The computer-readable storage medium of claim 19, wherein the user is determined to be sedentary when the MET is below a predetermined MET threshold, wherein the user is determined to be active when the MET is above the predetermined MET threshold.

21. (canceled)