Virtual sport instruction

• US 20040137415A1
• Filed: 01/10/2003
• Published: 07/15/2004
• Est. Priority Date: 01/10/2003
• Status: Active Grant

• Current Assignee: SkyHawke Technologies LLC (SkyHawke Technologies)
• Original Assignee: Joseph Dimare, Mark Dimare
• Inventors: DiMare, Joseph, DiMare, Mark
• Granted Patent: US 6,905,339 B2
• Time in Patent Office: Days
• US Class Current: 434/252
• CPC Class Codes: A63B 2208/12 specially adapted for children
• CPC Class Codes: A63B 69/36 for golf

Abstract

A sport performance evaluation method and system. The method includes storing a user-defined physical profile, displaying a set of images where each image in the set depicts a different variation of an element of imperfect sport performance, and selecting at least one image in the set most closely depicting an element of imperfect sport performance exhibited by a user who is associated with the user-defined physical profile. The method also includes diagnosing at least one cause for the imperfect sport performance based upon the stored at least one selected image and the stored user-defined physical profile. The system can include a user-defined physical profile and at least one set of images depicting an element of imperfect sport performance where each image in the set depicts a different variation of the element. The system can also include at least one data repository and at least one computing device.

Claims

1. A sport performance evaluation method, the method comprising the steps of:

storing a user-defined physical profile;

displaying a set of images, each image in said set depicting a different variation of an element of imperfect sport performance;

selecting at least one image in said set most closely depicting an element of imperfect sport performance exhibited by a user who is associated with said user-defined physical profile; and

diagnosing at least one cause for said imperfect sport performance based upon said at least one selected image and said stored user-defined physical profile.

2. The method according to claim 1, further comprising the step of storing at least one environmental characteristic;

wherein said diagnosing step is additionally based upon said at least one stored environmental characteristic.

3. The method according to claim 2, further comprising the step of storing secondary data;

wherein said secondary data comprises at least one of additional user-defined physical profile data, at least one additional selected image, and at least one additional environmental characteristic; and

wherein said diagnosing step is additionally based upon said stored secondary data.

4. The method according to claim 1, further comprising the step of generating at least one of a lesson and an evaluation summary;

wherein said lesson and said evaluation summary are based upon said diagnosis.

5. The method according to claim 4, further comprising the step of storing at least one of said lesson and said evaluation summary;

wherein said diagnosing step is additionally based upon at least one of said stored lesson and said stored evaluation summary.

6. The method according to claim 5, further comprising the step of presenting at least one of said stored lesson and said stored evaluation summary.

7. The method according to claim 1, further comprising the step of storing in said data repository a post evaluation survey;

wherein said diagnosing step is additionally based upon said stored post evaluation survey.

8. The method according to claim 7, further comprising the step of storing secondary data;

wherein said secondary data comprises at least one secondary post evaluation survey; and

wherein said diagnosing step is additionally based upon said stored secondary data.

9. The method according to claim 7, further comprising the step of detecting at least one of an illogical selection of said at least one image, an illogical user-defined physical profile, and an illogical post evaluation survey.

10. The method according to claim 1, further comprising the step of generating at least one user diagnosis instruction for instructing said user to provide at least one user diagnosis result.

11. The method according to claim 10, further comprising the step of storing at least one user diagnosis result;

wherein said diagnosing step is additionally based upon said stored at least one user diagnosis result.

12. A system for sport performance evaluation, comprising:

a user-defined physical profile,

at least one set of images depicting an element of imperfect sport performance, each image in said set depicting a different variation of said element.

at least one data repository configured to store at least said at least one selected image and said user-defined physical profile; and

at least one computing device coupled to said at least one data repository and programmed to perform a sport performance evaluation based upon at least said stored at least one selected image and said stored user-defined physical profile.

13. The system according to claim 12, further comprising at least one lesson, at least one evaluation summary, at least one post evaluation survey, at least one lesson history, at least one environmental characteristic, at least one secondary data, at least one user diagnosis instruction, and at least one user diagnosis result;

wherein said at least one lesson, said at least one evaluation summary, said at least one post evaluation survey, said at least one lesson history, said at least one environmental characteristic, said at least one secondary data, said at least one secondary data, said at least one user diagnosis instruction, and said at least one user diagnosis result are stored in said at least one data repository.

14. The system according to claim 13, wherein said at least one computing device is programmed to perform a sport performance evaluation based additionally upon at least one of said stored at least one lesson, said stored at least one evaluation summary, said stored at least one post evaluation survey, said stored at least one lesson history, said stored at least one environmental characteristic, said stored at least one secondary data, said stored at least one user diagnosis instruction, and said stored at least one user diagnosis result.

15. The system according to claim 14, further comprising at least one user interface.

16. A system according to claim 15, wherein said at least one user interface is configured to accept at least one of said user-defined physical profile, a selection of said at least one image depicting an element of imperfect sport performance, said at least one post evaluation survey, said at least one environmental characteristic, said at least one secondary data, and said at least one user diagnosis result.

17. The system according to claim 15, wherein said at least one user interface presents at least one of said stored user-defined physical profile, said stored at least one set of images depicting an element of imperfect sport performance, said stored at least one lesson, said stored at least one lesson history, said stored at least one evaluation summary, said stored at least one post evaluation survey, said stored at least one environmental characteristic, said stored at least one secondary data, and said stored at least one user diagnosis instruction.

18. A system according to claim 12, further comprising a plurality of networked computing devices;

wherein at least one computing device is configured for user access.