SYSTEMS AND METHODS FOR THE GRAPHICAL REPRESENTATION OF THE WORKOUT EFFECTIVENESS OF A PLAYLIST

• US 20100188405A1
• Filed: 01/28/2009
• Published: 07/29/2010
• Est. Priority Date: 01/28/2009
• Status: Abandoned Application

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Rottler, Benjamin, Haughay, Allen P. JR.
• Application Number:
  US12/361,243
• Publication Number:
  US 20100188405A1
• Time in Patent Office: Days
• US Class Current: 345/440
• CPC Class Codes: A63B 2024/0071 Distinction between different activities, movements, or kind of sports performed
• CPC Class Codes: A63B 2071/063 Spoken or verbal instructions
• CPC Class Codes: A63B 2071/065 Visualisation of specific exercise parameters
• CPC Class Codes: A63B 2071/0655 Tactile feedback
• CPC Class Codes: A63B 2220/17 Counting, e.g. counting periodical movements, revolutions or cycles, or including further data processing to determine distances or speed
• CPC Class Codes: A63B 2220/20 Distances or displacements
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/70 Measuring or simulating ambient conditions, e.g. weather, terrain or surface conditions
• 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 2230/75 calorie expenditure
• CPC Class Codes: A63B 2244/09 Weight-lifting
• CPC Class Codes: A63B 2244/20 Swimming
• 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 24/0075 Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: A63B 69/0028 for running, jogging or speed-walking movable endless bands A63B22/02
• CPC Class Codes: A63B 69/16 for cycling , i.e. arrangements on or for real bicycles
• CPC Class Codes: A63B 71/0622 Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: A63B 71/0686 Timers, rhythm indicators or pacing apparatus using electric or electronic means
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06T 11/206 : Drawing of charts or graphs
• CPC Class Codes: G09B 19/0038 : Sports

Abstract

Systems and methods are provided for a graphical representation of the workout effectiveness of a playlist. A particular playlist or collection of media items can be received. A burn graph can then be generated from the playlist, where the burn graph represents the expected effort level of a user who is exercising while listening to the playlist. The expected effort level can be determined by analyzing, for example, the beats per minute, tempo, mood, brightness, or genre of the media in the playlist. Additional user information such as, for example, a user'"'"'s weight, age, height, stride length, resting heart rate, data from prior workouts, user'"'"'s mood, or any combination of the above, can be taken into account when generating the burn graph.

Claims

1. A method for representing the workout effectiveness of a playlist, the method comprising:

receiving a playlist comprising a plurality of media items;

determining workout attributes for each of the plurality of media items; and

generating a burn graph based on the determined workout attributes, wherein the burn graph depicts the effort level expected from a user listening to the playlist over the length of a workout.

2. The method of claim 1, wherein generating a burn graph further comprises:

receiving user-specific information; and

adjusting the magnitude of the burn graph based on the received user-specific information.

3. The method of claim 1, wherein generating a burn graph further comprises:

receiving workout-specific information; and

adjusting the magnitude of the burn graph based on the received workout-specific information.

4. The method of claim 1, further comprising:

identifying a particular position on the burn graph;

generating a coaching cue, wherein the coaching cue is generated based on the shape of the burn graph at the particular position;

identifying a location of the playlist that is associated with the particular position; and

inserting a bookmark for the coaching cue into the location of the playlist.

5. The method of claim 1, further comprising:

generating an audio metronome, wherein the beat of the generated audio metronome changes based on the magnitude of the burn graph; and

adding the generated audio metronome into the playlist.

6. The method of claim 1, wherein determining workout attributes comprises:

accessing a remote database; and

retrieving workout attributes for each of the plurality of media items from the remote database.

7. The method of claim 1, further comprising:

providing an opportunity for a user to purchase at least one of plurality of media items.

8. The method of claim 1, further comprising:

updating the burn graph in response to receiving a modification to the playlist, wherein the updated burn graph depicts the effort level expected from the user listening to the modified playlist over the length of the workout.

9. The method of claim 1, wherein the burn graph comprises a visual indication of which portions of the burn graph correspond to which media items in the playlist.

10. The method of claim 1, wherein the workout attributes comprise one or more of a media item'"'"'s title, a media item'"'"'s genre, a media item'"'"'s beats per minute, a media item'"'"'s tempo, a media item'"'"'s brightness, and a media item'"'"'s mood.

11. A system for displaying a user interface providing a graphical representation of the workout effectiveness of a playlist, the system comprising:

a host device, the host device comprising;

a display

a processor operative to;

receive a playlist comprising at least one media item;

generate a graph representing the workout effectiveness of the received playlist; and

direct the display to display the generated graph.

12. The system of claim 11, further comprising:

a portable device, the portable device comprising;

communications circuitry operative to receive the playlist from the host device; and

output circuitry operative to play back the at least one media item of the playlist.

13. The system of claim 12, wherein the host device and the portable device are the same device.

14. The system of claim 11, wherein the processor is further operative to:

determine workout attributes for the at least one media item; and

define the graph from the determined workout attributes.

15. The system of claim 11, wherein:

the host device comprises communications circuitry operative to;

access a remote database; and

retrieve workout attributes associated with the at least one media item from the remote database; and

the processor is further operative to define the graph from the accessed workout attributes.

16. An electronic device comprising:

a display;

storage operative to store a plurality of media files; and

a processor operative to;

generate a playlist comprising at least one of the plurality of media files;

determine workout attributes associated with each of the at least one of the plurality of media files; and

generate a graphical representation of the workout effectiveness of the playlist over time, wherein the values of the graphical representation change based on the workout attributes of the at least one of the plurality of media files played back at each moment of time.

17. The electronic device of claim 16, wherein the graphical representation is a burn graph.

18. The electronic device of claim 16, wherein the processor is further configured to:

identify user-specific information; and

adjust the magnitude of the graphical representation based on the identified user-specific information.

19. The electronic device of claim 16,

identify workout-specific information;

and

adjust the magnitude of the graphical representation based on the identified workout-specific information.

20. Machine-readable media for representing the workout effectiveness of a playlist, comprising machine-readable instructions recorded thereon for:

receiving a playlist comprising a listing of a plurality of media items;

determining workout attributes for each of the plurality of media items; and

generating a burn graph based on the determined workout attributes, wherein the burn graph depicts the effort level expected from a user listening to the playlist over the length of a workout.

21. The machine-readable media of claim 20, further comprising machine-readable instructions recorded thereon for:

uploading the playlist to a portable media player; and

syncing the media items stored on the portable media player with the plurality of media items of the playlist.

22. The machine-readable media of claim 20, further comprising machine-readable instructions recorded thereon for:

accessing a remote database;

retrieving media item information for each of the plurality of media items from the remote database; and

determining workout attributes from the media item information.

23. The machine-readable media of claim 20, further comprising machine-readable instructions recorded thereon for:

generating a user-selectable option, wherein the user-selectable option allows for purchasing at least one of the plurality of media items.