TRAINING PROGRAM AND MUSIC PLAYLIST GENERATION FOR ATHLETIC TRAINING

• US 20100273610A1
• Filed: 04/27/2010
• Published: 10/28/2010
• Est. Priority Date: 04/27/2009
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Johnson, Omar A.
• Granted Patent: US 8,568,277 B2
• Time in Patent Office: Days
• US Class Current: 482/9
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/7415 Sound rendering of measured values, e.g. by pitch or volume variation A61B5/741 takes precedence
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A63B 2024/0025 Tracking the path or location of one or more users, e.g. players of a game
• 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 22/0056 the pivoting movement being in a vertical plane, e.g. steppers with a horizontal axis platforms for rocking motion about a horizontal axis A63B22/16
• CPC Class Codes: A63B 22/0076 Rowing machines for conditioning the cardio-vascular system seats moving during exercise A63B22/0087; training appliances for rowing or sculling on boats A63B69/06
• CPC Class Codes: A63B 22/02 with movable endless bands , e.g. treadmills other training appliances for running on the spot A63B69/0028
• CPC Class Codes: A63B 22/0605 performing a circular movement, e.g. ergometers
• CPC Class Codes: A63B 22/0664 performing an elliptic movement
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/14 Geo-tagging, e.g. for correlating route or track location data with specific information related to that specific location
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/34 Angular speed
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/803 Motion sensors
• CPC Class Codes: A63B 2220/836 : Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/15 : with identification means that can be read by electronic means
• 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 2230/00 : Measuring physiological parameters of the user
• CPC Class Codes: A63B 2230/04 : heartbeat characteristics, e.g. ECG, blood pressure modulations
• CPC Class Codes: A63B 2230/207 : P-O2, i.e. partial O2 value
• CPC Class Codes: A63B 2230/70 : body fat
• CPC Class Codes: A63B 2230/75 : calorie expenditure
• 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 24/0084 : Exercising apparatus with means for competitions, e.g. virtual races
• CPC Class Codes: A63B 69/0028 : for running, jogging or speed-walking movable endless bands A63B22/02
• CPC Class Codes: A63B 71/06 : Indicating or scoring devices for games or players , or for other sports activities
• CPC Class Codes: A63B 71/0622 : Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
• CPC Class Codes: A63B 71/0697 : Reservation devices
• CPC Class Codes: G06F 16/284 : Relational databases
• CPC Class Codes: G06F 3/002 : Specific input/output arrangements not covered by G06F3/01 - G06F3/16 other optical apparatus G02B27/00
• CPC Class Codes: G06F 3/0481 : based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 3/04842 : Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/04847 : Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G07C 1/22 : in connection with sports or games
• 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: H04M 1/6058 : involving the use of a headset accessory device connected to the portable telephone
• CPC Class Codes: H04M 1/72409 : by interfacing with external accessories hands-free H04M1/60
• CPC Class Codes: H04M 1/72412 : using two-way short-range wireless interfaces
• CPC Class Codes: H04M 1/72442 : for playing music files
• CPC Class Codes: H04M 1/72454 : according to context-related or environment-related conditions

Abstract

Systems and techniques for generating an athletic training program and selecting music for playing during the training program are described. Based on specified parameters, a training program module may generate a customized training program intended to help an athlete reach a goal. In conjunction therewith or independently thereof, a music selection module may generate a music playlist for playing during a training program. Music selection parameters may include training intensity, user speed, user location, user mood, a user'"'"'s currently performance (e.g., as compared to an expected performance) and the like. The music selection module may select songs from a personal library or a public database of music. Music selection may be made to maximize user motivation/inspiration.

Claims

1. A system comprising:

a processor; and

memory operatively coupled to the processor and storing computer readable instructions that, when executed, provide;

a training program generator module configured to;

receive a user-specified training parameter, and

generate an athletic activity training schedule for a user based on the user-specified training parameter; and

a music playlist generator module configured to automatically select one or more songs for a music playlist to be played during an athletic workout corresponding to the training schedule.

2. The system of claim 1, wherein the music playlist generator module is further configured to select the one or more songs based on a duration of the athletic workout.

3. The system of claim 1, wherein the music playlist generator module is further configured to select the one or more songs based on a user-specified artist.

4. The system of claim 1, wherein the music playlist generator module is further configured to receive a user instruction to select the one or more songs from a user-specified library.

5. The system of claim 4, wherein the user-specified library includes a personal music library of the user.

6. The system of claim 1, wherein the music playlist generator is further configured to receive a user instruction requesting recommendations by the music playlist generator module for one or more additional songs.

7. The system of claim 6, wherein the music playlist generator module is further configured to recommend the one or more additional songs by determining a similarity between a first song and a second song, wherein the first song is specified by the user for at least one of:

the athletic workout and a previous athletic workout.

8. The system of claim 7, wherein the similarity between the first and second songs is determined based on at least one other user purchasing both the first and second songs.

9. The system of claim 7, wherein the similarity between the first and second songs is determined based on a popularity level of each of the first and second songs.

10. The system of claim 7, wherein the similarity between the first and second songs is determined based on a genre of each of the first and second songs.

11. The system of claim 7, wherein the similarity between the first and second songs is determined based on an artist of each of the first and second songs.

12. The system of claim 1, wherein the music playlist generator module is configured to select the one or more songs for the music playlist based on a level of motivation provided by the one or more songs to the user.

13. The system of claim 12, wherein the music playlist generator module is configured to determine the level of motivation provided by the one or more songs by determining an amount of athletic activity previously performed by the user during the playing of the one or more songs.

14. The system of claim 13, wherein the amount of athletic activity previously performed by the user includes an amount of athletic activity performed during a previous workout and wherein the music playlist generator is configured to select the one or more songs for the music playlist in response to determining that the amount of athletic activity performed during the previous workout exceeded a predefined target amount of athletic activity for the previous workout.

15. The system of claim 12, wherein the music playlist generator is configured to select the one or more songs for the music playlist in response to determining that the level of motivation is above a specified threshold.

16. The system of claim 15, wherein the specified threshold comprises a threshold amount of athletic activity.

17. A method comprising:

receiving, at a computing device, a user-specified training parameter for an athletic activity workout;

generating, by the computing device, an athletic activity training schedule for a user based on the user-specified training parameter; and

automatically selecting, by the computing device, one or more songs for a music playlist to be played during the workout corresponding to the training schedule.

18. The method of claim 17, wherein automatic selection of the one or more songs is performed based on songs selected for a previous workout.

19. The method of claim 18, wherein a user'"'"'s athletic activity during at least a portion of the previous workout when the one or more songs were played exceeded a predefined target amount of athletic activity for the at least a portion of the previous workout.

20. The method of claim 17, further comprising receiving, by the computing device, a user selection of a coach for the workout, wherein the automatic selection of the one or more songs is performed based on one or more songs used for a workout of the coach.

21. The method of claim 17, wherein automatic selection of the one or more songs is based on a number of times the one or more songs have been purchased.

22. The method of claim 17, wherein automatic selection of the one or more songs is based on a number of times the one or more songs have been selected for a workout.

23. The method of claim 17, wherein automatic selection of the one or more songs is based on a geographic location of the user during the workout.

24. The method of claim 17, wherein automatic selection of the one or more songs is based on a pace of the user.

25. The method of claim 24, further comprising:

playing a first song during a portion of the workout; and

in response to determining that the user'"'"'s pace is below a specified pace threshold, selecting a second song having a faster tempo than the first song.

26. The method of claim 17, wherein the workout includes at least a first portion and a second portion, the first and second portions being distinct from one another and having different athletic activity goals and wherein selection of the one or more songs includes:

selecting a first song for the first portion based on a first athletic activity goal associated with the first portion; and

selecting a second song for the second portion based on a second athletic activity goal associated with the second portion.

27. A method comprising:

receiving, at a computing device, a user-specified training parameter for an athletic activity workout;

receiving, by the computing device, a music selection parameter;

generating, by the computing device, an athletic activity training schedule for a user based on the user-specified training parameter, the athletic activity training schedule including at least one workout including a goal; and

automatically selecting, by the computing device, one or more songs to be played during the at least one workout based on the goal of the at least one workout and songs selected for and athletic activity statistics associated with one or more previous workouts of the user.

28. The method of claim 27, wherein the goal includes a distance to run.

29. The method of claim 27, wherein automatically selecting the one or more songs includes:

determining an amount of athletic activity performed during a previous workout; and

selecting a song played during the previous workout as one of the one or more songs to be played during the at least one workout in response to determining that the amount of athletic activity performed during the previous workout exceeds a goal defined for the previous workout.

30. The method of claim 27, further comprising:

generating a workout summary upon completion of the at least one workout, wherein the workout summary includes a display of at least one workout statistic and one or more indicators in the display of the at least one workout statistic, the one or more indicators identifying a start of a song.

31. The method of claim 30, further comprising displaying song details in response to detecting user interaction with the one or more indicators.

32. The method of claim 27, further comprising automatically defining a sequence of the one or more songs.