Notifications on a user device based on activity detected by an activity monitoring device

• US 10,109,175 B2
• Filed: 06/05/2017
• Issued: 10/23/2018
• Est. Priority Date: 02/27/2014
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Fitbit, Inc. (Alphabet Inc.)
• Inventors: Roberts, Timothy, Choudhary, Nichiketa
• Primary Examiner(s): Pham, Toan N
• Application Number:
  US15/614,380
• Publication Number:
  US 20170270765A1
• Time in Patent Office: 505 Days
• Field of Search: 34053911, 34053913, 3405731, 3406911, 3406916, 455566, 700 91, 700108
• 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 5/0022 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• 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 5/112 Gait analysis
• 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 5/14551 for measuring blood gases
• 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 5/486 Bio-feedback A61B5/375 takes precedence
• 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: A61B 5/7405 : using sound
• CPC Class Codes: A61B 5/743 : Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/7435 : Displaying user selection data, e.g. icons in a graphical user interface
• CPC Class Codes: A61B 5/7455 : characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A63B 24/0062 : Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G01C 22/006 : Pedometers
• CPC Class Codes: G06F 15/00 : Digital computers in general details G06F1/00 – G06F13/00; Data processing equipment in general
• CPC Class Codes: G06F 3/041 : Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
• CPC Class Codes: G08B 21/0423 : detecting deviation from an expected pattern of behaviour or schedule
• CPC Class Codes: G08B 21/182 : Level alarms, e.g. alarms responsive to variables exceeding a threshold
• CPC Class Codes: G08B 3/10 : using electric transmission; using electromagnetic transmission
• CPC Class Codes: G08B 5/36 : using visible light sources
• CPC Class Codes: G08B 6/00 : Tactile signalling systems, e.g. personal calling systems
• 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 40/63 : 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: H04L 12/1895 : for short real-time information, e.g. alarms, notifications, alerts, updates
• CPC Class Codes: H04L 51/52 : for supporting social networking services
• CPC Class Codes: H04L 51/58 : Message adaptation for wireless communication
• CPC Class Codes: H04L 65/403 : Arrangements for multi-party communication, e.g. for conferences data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15
• CPC Class Codes: H04L 67/1095 : Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/12 : specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• 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: H04L 67/56 : Provisioning of proxy services store-and-forward switching systems in data switching networks H04L12/54
• CPC Class Codes: H04M 1/724 : User interfaces specially adapted for cordless or mobile telephones
• CPC Class Codes: H04M 1/72451 : according to schedules, e.g. using calendar applications
• CPC Class Codes: H04M 1/72454 : according to context-related or environment-related conditions
• CPC Class Codes: H04W 4/00 : Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services

Abstract

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

Claims

1. A method for providing a notification to a user, comprising:

establishing a wireless connection between a mobile computing device associated with a first user and a wearable device configured to store activity data;

receiving, by the mobile computing device, the activity data from the wearable device via the wireless connection;

determining, by the mobile computing device, that the activity data satisfies a first threshold of a plurality of predefined thresholds for outputting a first notification to the first user via the mobile computing device; and

causing the first notification to be output via the mobile computing device.

2. The method of claim 1, wherein the first notification comprises one or more of a text message, a visual alert, an audible alert, or a haptic alert.

3. The method of claim 2, wherein the first notification comprises the text message, the method further comprising selecting, from a plurality of text messages stored in a message library, the text message associated with the first threshold, and causing the text message to be displayed on a display screen of the mobile computing device.

4. The method of claim 1, further comprising causing the first notification to be output based on the activity data indicating that a predefined goal associated with the first user is reached.

5. The method of claim 4, wherein the predefined goal comprises one or more of a number of steps taken, a number of floors climbed, a number of calories burned, an amount of energy expended, a distance traveled, a number of minutes slept, a number of minutes for which an activity is performed, or a number of active minutes.

6. The method of claim 1, further comprising causing the first notification to be output based on one of (i) the activity data indicating a parameter value that is a threshold amount less than a predefined goal associated with the first user or (ii) the activity data indicating a parameter value that exceeds a predefined goal associated with the first user by a threshold amount.

7. The method of claim 1, further comprising causing the first notification to be output such that the first notification is not output at a time during which (i) the activity data indicates that the first user is asleep or (ii) the activity data indicates movement exceeding a threshold level.

8. The method of claim 1, further comprising causing the first notification to be output such that the first notification is output at a time during which the mobile computing device is in a specific geographical area associated with the first user.

9. The method of claim 1, further comprising performing one of (i) based on a determination that a mobile application associated with the wearable device is not running in a foreground on the mobile computing device, causing the first notification to be output on a display screen of the mobile computing device as a message outside the mobile application, and (ii) based on a determination that the mobile application associated with the wearable device is running in the foreground on the mobile computing device, causing the first notification to be output on the display screen of the mobile computing device as a message within the mobile application.

10. The method of claim 1, further comprising causing the first notification to be output based on one of (i) a threshold amount of time elapsing, (ii) the activity data indicating a parameter value exceeding a threshold level within a threshold amount of time, (iii) the activity data indicating a current parameter value for a current time period that is greater than a previous parameter value for a previous time period that precedes the current time period, or (iv) the activity data indicating a current parameter value for a current time period that is less than a previous parameter value for a previous time period that precedes the current time period.

11. A system for providing a notification to a user, comprising:

one or more output devices;

one or more wireless communication circuits;

one or more processors; and

one or more memories having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to;

receive activity data from a wearable device via the one or more communication modules;

determine that the activity data satisfies a first threshold of a plurality of predefined thresholds for outputting a first notification via the one or more output devices; and

cause the first notification to be output via the one or more output devices.

12. The system of claim 11, wherein the first notification comprises one or more of a text message, a visual alert, an audible alert, or a haptic alert.

13. The system of claim 12, wherein the first notification comprises the text message and the one or more output devices comprise a display screen, wherein the instructions further cause the one or more processors to select, from a plurality of text messages stored in a message library, the text message associated with the first threshold, and cause the selected text message to be displayed on the display screen.

14. The system of claim 11, wherein the instructions further cause the one or more processors to cause the first notification to be output based on the activity data indicating that a predefined goal associated with the user is reached.

15. The system of claim 14, wherein the predefined goal comprises one or more of a number of steps taken, a number of floors climbed, a number of calories burned, an amount of energy expended, a distance traveled, a number of minutes slept, a number of minutes for which an activity is performed, or a number of active minutes.

16. The system of claim 11, wherein the instructions further cause the one or more processors to cause the first notification to be output based on one of (i) the activity data indicating a parameter value that is a threshold amount less than a predefined goal associated with the user or (ii) the activity data indicating a parameter value that exceeds a predefined goal associated with the user by a threshold amount.

17. The system of claim 11, wherein the instructions further cause the one or more processors to cause the first notification to be output such that the first notification is not output at a time during which (i) the activity data indicates that the user is asleep or (ii) the activity data indicates movement exceeding a threshold level.

18. The system of claim 11, wherein the instructions further cause the one or more processors to cause the first notification to be output based on a determination that location data stored in the one or more memories indicates a location within in a specific geographical area associated with the user.

19. The system of claim 11, wherein the instructions further cause the one or more processors to perform one of (i) based on a determination that a mobile application associated with the wearable device is not running in a foreground, cause the first notification to be output on a display screen as a message outside the mobile application, and (ii) based on a determination that the mobile application associated with the wearable device is running in the foreground, cause the first notification to be output on the display screen as a message within the mobile application.

20. The system of claim 11, wherein the instructions further cause the one or more processors to cause the first notification to be output based on one of (i) a threshold amount of time elapsing, (ii) the activity data indicating a parameter value exceeding a threshold level within a threshold amount of time, (iii) the activity data indicating a current parameter value for a current time period that is greater than a previous parameter value for a previous time period that precedes the current time period, or (iv) the activity data indicating a current parameter value for a current time period that is less than a previous parameter value for a previous time period that precedes the current time period.