Methods, Systems and Devices for Generating Real-Time Activity Data Updates to Display Devices

• US 20160061626A1
• Filed: 11/11/2015
• Published: 03/03/2016
• Est. Priority Date: 09/30/2010
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Burton, Barry, Panther, Heiko, Park, James, Friedman, Eric, Yuen, Shelten, Brumback, Christine, Roberts, Timothy
• Granted Patent: US 11,243,093 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 2560/0456 Apparatus provided with a docking unit
• 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 5/02438 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 5/1123 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 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• 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: G01C 22/006 Pedometers
• CPC Class Codes: G16H 40/63 for local operation
• 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 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Methods, systems and devices are provided for displaying monitored activity data in substantial real-time on a screen of a computing device. One example method includes capturing motion data associated with activity of a user via an activity tracking device. The motion data is quantified into a plurality of metrics associated with the activity of the user. The method includes connecting the activity tracking device with a computing device over a wireless data connection, and sending motion data from the activity tracking device to the computing device for display of one or more of the plurality of metrics on a graphical user interface of the computing device. At least one of the plurality of metrics displayed on the graphical user interface is shown to change in substantial real-time based on the motion data.

Claims

1. A method comprising:

capturing motion data associated with activity of a user via an activity tracking device, the motion data quantified into a plurality of metrics associated with the activity of the user;

storing the motion data in storage of the activity tracking device;

connecting the activity tracking device with a computing device over a wireless data connection;

sending the motion data to the computing device for display of a metric, of the plurality of metrics, on a graphical user interface of an activity application of the computing device; and

detecting the activity tracking device being within a proximity distance from the computing device, the proximity distance being within a low energy wireless communication distance that enables the wireless data connection;

the sending of motion data to the computing device being configured to continue while additional motion data is captured and while the activity tracking device is within the proximity distance, the metric displayed on the graphical user interface being shown to change in an increasing numerical or graphical form in substantial real-time for the motion data sent when the activity tracking device is within the proximity distance, the method being executed by a processor.

2. The method of claim 1, wherein the metric of the plurality of metrics is a step count quantified from the motion data.

3. The method of claim 1, wherein the metric is a step count that is shown increasing numerically or graphically on the graphical user interface of the computing device as motion quantified as steps is captured by the activity tracking device and the step count is shown to pause on the graphical user interface when motion captured by the activity tracking device is insufficient or lacking to qualify as steps.

4. A method comprising:

capturing motion data associated with activity of a user via an activity tracking device, the motion data quantified into a plurality of metrics associated with the activity of the user;

storing the motion data in storage of the activity tracking device;

connecting the activity tracking device with a computing device over a wireless data connection; and

sending the motion data to the computing device for display of a metric, of the plurality of metrics, on a graphical user interface of an activity application of the computing device,

the sending of motion data to the computing device being configured to continue while additional motion data is captured, and the metric displayed on the graphical user interface being shown to change in an increasing numerical or graphical form in substantial real-time while the activity tracking device is within a proximity distance that enables wireless communication, the method being executed by a processor,

the motion data being transferred from the storage of the activity tracking device to the computing device, and upon a sync operation, the motion data being transferred to an activity management server by the computing device over an Internet connection, and the activity management server updating the plurality of metrics associated with the motion data captured based on the activity of the user.

5. A method comprising:

capturing motion data associated with activity of a user via an activity tracking device, the motion data quantified into a plurality of metrics associated with the activity of the user;

storing the motion data in storage of the activity tracking device;

connecting the activity tracking device with a computing device over a wireless data connection;

sending the motion data to the computing device for display of a metric, of the plurality of metrics, on a graphical user interface of an activity application of the computing device,

the sending of motion data to the computing device being configured to continue while additional motion data is captured, and the metric displayed on the graphical user interface being shown to change in an increasing numerical or graphical form in substantial real-time while the activity tracking device is within a proximity distance that enables wireless communication, the method being executed by a processor; and

wherein the computing device is configured to receive setting configurations from an activity management server, the setting configurations being associated with a user account that is associated with the activity tracking device, the activity management server configured to render graphical user interfaces on a website to display the plurality of metrics in one or more illustration configurations, the motion data being transferred via the computing device to the activity management server to synchronize the plurality of metrics on the computing device with the graphical user interfaces of the website.

6. The method of claim 5, wherein the metric of the plurality of metrics corresponds to at least one of a step count metric, a stair count metric, a distance traveled metric, an active time metric, a calories burned metric, and a sleep metric.

7. The method of claim 6, wherein the metric is additionally displayed on a display screen of the activity tracking device.

8. A method of claim 5, wherein a data transfer rate is set based on a scaled-down connection interval between the activity tracking device and the computing device while sending the motion data for substantial real-time display on a screen of the computing device.

9. A device configured for capture of activity for a user comprising:

a housing;

a sensor disposed in the housing to capture motion data associated with activity of the user via the device, the motion data being captured over time, the motion data quantified to define a plurality of metrics associated with the activity of the user;

a memory for storing the captured motion data; and

a processor for managing connection of the device with a computing device over a wireless data connection, the processor further managing sending of the motion data to the computing device for display of a metric, of the plurality of metrics, on a graphical user interface of an activity application of the computing device, the sending of the motion data to the computing device being configured to continue while additional motion data is captured, the metric displayed on the graphical user interface being shown to change in an increasing numerical or graphical form in substantial real-time while the device is within a proximity distance, wherein the processor further;

manages pausing the sending of the motion data when the device is beyond the proximity distance; and

manages continuing to store the motion data captured by the device in storage of the device.

10. The device of claim 9, wherein the device is defined as a wearable wrist attachable structure that is defined at least partially from a plastic material.

11. The device of claim 10, wherein the processor further:

manages reestablishing the connection between the device and the computing device when within the proximity distance; and

manages sending the motion data from the storage to the computing device, the sent motion data acting to increment the metric based on metric data stored in the device while the connection was paused.

12. The device of claim 9, wherein the wireless data connection is facilitated by wireless communication logic that includes one of a wireless processing logic, a low energy wireless processing logic, or a radio processing logic.

13. The device of claim 9, wherein the processor sets a data transfer rate based on a scaled-down connection interval between the device and the computing device while sending the motion data for the substantial real-time display on a screen of the computing device.