Monitoring fitness using a mobile device

• US 9,526,967 B2
• Filed: 05/29/2015
• Issued: 12/27/2016
• Est. Priority Date: 08/09/2010
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Hoffman, Michael T., Crankson, Kwamina, Nims, Jason, Orenstein, Michael L., White, Kristen L.
• Primary Examiner(s): D'AGOSTINO, PAUL ANTHONY
• Application Number:
  US14/726,212
• Publication Number:
  US 20150258380A1
• Time in Patent Office: 578 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2024/0068 Comparison to target or threshold, previous performance or not real time comparison to other individuals
• CPC Class Codes: A63B 2071/0625 Emitting sound, noise or music
• CPC Class Codes: A63B 2071/063 Spoken or verbal instructions
• CPC Class Codes: A63B 2071/0655 Tactile feedback
• CPC Class Codes: A63B 2071/0661 arranged on the user
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/62 Time or time measurement used for time reference, time stamp, master time or clock signal
• CPC Class Codes: A63B 2220/72 Temperature
• CPC Class Codes: A63B 2220/73 Altitude
• CPC Class Codes: A63B 2220/836 Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/20 with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/50 : Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/06 : heartbeat rate only
• CPC Class Codes: A63B 2230/10 : electroencephalographic signals
• CPC Class Codes: A63B 2230/207 : P-O2, i.e. partial O2 value
• CPC Class Codes: A63B 2230/50 : temperature
• CPC Class Codes: A63B 2230/75 : calorie expenditure
• CPC Class Codes: A63B 24/0003 : Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• CPC Class Codes: A63B 24/0021 : Tracking a path or terminating locations
• CPC Class Codes: A63B 24/0059 : Exercising apparatus with reward systems
• 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: A63B 24/0084 : Exercising apparatus with means for competitions, e.g. virtual races
• CPC Class Codes: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: G01S 19/19 : Sporting applications
• CPC Class Codes: G01S 19/48 : by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
• CPC Class Codes: G06F 1/1626 : with a single-body enclosure integrating a flat display, e.g. Personal Digital Assistants [PDAs]
• CPC Class Codes: G06F 1/1698 : the I/O peripheral being a sending/receiving arrangement to establish a cordless communication link, e.g. radio or infrared link, integrated cellular phone details of antennas disposed inside a computer H01Q1/2266
• CPC Class Codes: G06F 3/011 : Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/165 : Management of the audio stream, e.g. setting of volume, audio stream path
• CPC Class Codes: G06Q 50/01 : Social networking
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G16H 20/30 : relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• 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: H04M 1/724094 : Interfacing with a device worn on the user's body to provide access to telephonic functionalities, e.g. accepting a call, reading or composing a message
• CPC Class Codes: H04M 1/724095 : Worn on the wrist, hand or arm
• CPC Class Codes: H04M 1/72412 : using two-way short-range wireless interfaces
• CPC Class Codes: H04M 1/72454 : according to context-related or environment-related conditions
• CPC Class Codes: H04M 2250/10 : including a GPS signal receiver
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

Claims

1. A computer-implemented method comprising:

receiving from a first sensor on a first date, locational data of a user traversing over a first route having a plurality of locations comprising at least a first location and a second location during performance of a first athletic activity;

receiving from an electronic source, an identification of a first audio datum presented to the user while traversing over the first route between at least the first and the second location on the first date;

determining that a pace of the user between the first and the second locations of the first route on the first date meets a pace threshold;

based upon, at least in part, the determination that the pace between the first and second locations meets the pace threshold, adding the identification of the first audio datum to a route playlist; and

receiving from the first sensor on a second date, additional locational data of the user during performance of a second athletic activity;

determining whether the additional location data is indicative that the user is traversing over a second route including at least one of the plurality of locations of the first route; and

based upon the determination that the additional location data is indicative that the user is traversing over the second route including at least one of the plurality of locations of the first route, playing, during performance of the second athletic activity, the route playlist generated during performance of the first athletic activity.

2. The method of claim 1, further comprising:

receiving from a second sensor during the first date, athletic performance data of the user performing the first athletic activity and storing the athletic performance data of the first athletic activity in association with the first route, and

wherein the adding of the identification of the first audio datum to a route playlist is further based upon the athletic performance data of the user from the second sensor on the first date meeting a performance data threshold.

3. The method of claim 2, wherein the athletic performance data comprises heart rate data.

4. The method of claim 2, wherein the second sensor is a body-worn sensor.

5. The method of claim 1, further comprising:

receiving from an electronic source, an identification of a second audio datum presented to a second user while traversing over the first route between at least the first and the second location on the first date;

determining that a pace of the second user between the first and the second locations of the first route meets a pace threshold; and

based upon, at least in part, the determination that the pace of the second user between the first and second locations met the pace threshold, adding the identification of the second audio datum to a route playlist.

6. The method of claim 5, wherein playing the at least a portion of the route playlist comprises playing the first audio datum and the second audio datum.

7. The method of claim 1, further comprising:

determining that the pace of the user between the first and the second locations of the first route on the first date is a faster pace than a previous pace associated with an identity of a third audio datum on the route playlist, and replacing the identity of the third audio datum with the identity of the first audio datum.

8. The method of claim 2, further comprising:

generating a route map showing the first route, wherein the route map further includes one or more markers on the first route identifying at least one metric from at least the first and the second sensor; and

responsive to receiving a user input interacting with a first marker associated with the first location, providing information relating to the identity of an audio datum of the route playlist presented to the user at a time the user traversed the first location of the first route, wherein of the identity of the audio datum and the at least one metric is simultaneously provisioned.

9. The computer-implemented method of claim 2, further comprising:

generating a route map showing the first route, wherein the route map further includes one or more markers on the first route identifying at least one metric from at least the first and the second sensor,

wherein the at least one metric comprises pace and wherein generating the route map comprises;

selecting different colors for different portions of the first route depending on the pace of the user during each of the different portions.

10. A computer-implemented method comprising:

receiving from a first sensor at a first time period, locational data of a user traversing over at least one location while performing a first athletic performance;

receiving from a second sensor during the first time period, athletic performance data of the user performing the first athletic performance and storing the athletic performance data;

receiving from an electronic source, an identification of a first audio datum presented to the user while traversing over the at least one location;

determining that a pace of the user over at least a first location of the at least one location meets a pace threshold;

based, at least in part, on determining the pace of the user met the pace threshold, automatically adding the identification of the first audio datum to a route playlist; and

playing, during a second athletic performance of the user, the route playlist generated during the first athletic performance, wherein the route playlist includes the first audio datum.