Methods and systems for metrics analysis and interactive rendering, including events having combined activity and location information

• US 8,892,401 B2
• Filed: 01/06/2014
• Issued: 11/18/2014
• 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
• Primary Examiner(s): Raymond, Edward
• Application Number:
  US14/148,518
• Publication Number:
  US 20140191867A1
• Time in Patent Office: 316 Days
• Field of Search: 702/179, 702/150, 702/161, 702182-185, 702/188
• US Class Current: 702/179
• 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 monitoring device comprising:

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

a position sensor for determining one or more spatial positions of the monitoring device;

a time measurement device for determining one or more times of occurrence corresponding to the spatial positions and the geo-locations; and

a processor for 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.

2. The monitoring device of claim 1, wherein the processor is configured to generate a description summarizing the metric.

3. The monitoring device of claim 1, wherein the processor is configured to determine a statistical metric of the activity performed at a location over a time horizon based on the times of occurrence.

4. The monitoring device of claim 3, wherein the processor is configured to generate a description summarizing the statistical metric.

5. A server system comprising:

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

the one or more processors for receiving one or more spatial positions of the monitoring device,

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

the one or more processors for 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,

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

a memory device coupled to the one or more processors for storing the one or more locations,

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.

6. The server system of claim 5, wherein the one or more processors are configured to generate a description summarizing the metric data.

7. The server system of claim 5, wherein the one or more processors are configured to determine a statistical metric of one or more activities performed at the locations over a time horizon based on the times of occurrence.

8. The server system of claim 7, wherein the one or more processors are configured to generate a description summarizing the statistical metric.

9. The server system of claim 5, wherein the one or more processors are configured to map a portion of the spatial positions to one of the activities.

10. The server system of claim 5, wherein the monitoring device is wearable as a watch, or a wrist band, or a clip.

11. The server system of claim 5, wherein the spatial positions include one or more positions that indicate a motion of the monitoring device.