Systems and methods of measuring and evaluating performance of a physical skill and equipment used to perform the physical skill

• US 20050196737A1
• Filed: 01/26/2005
• Published: 09/08/2005
• Est. Priority Date: 01/26/2004
• Status: Abandoned Application

• Current Assignee: ModelGolf LLC
• Original Assignee: ModelGolf LLC
• Inventors: Mann, Ralph V.
• Application Number:
  US11/052,711
• Publication Number:
  US 20050196737A1
• Time in Patent Office: Days
• US Class Current: 434/247
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 2220/807 Photo cameras
• 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 69/3623 for driving A63B69/3608, A63B69/3658, A63B69/3661, A63B69/3667 and A63B69/3691 take precedence
• CPC Class Codes: G09B 19/0038 Sports

Abstract

Systems and methods are provided for processing an individual performance data model of a person, such as a student, performing a physical skill or task. The individual performance data model is derived from an elite or superior performance data model determined from a number of elite or superior performances of the skill or task. In particular, the elite or superior performance model is sized or scaled to the student'"'"'s body dimensions to produce a customized individual performance data model of the student'"'"'s ideal or superior performance of the skill. The individual performance data model is used in teaching processes to identify and correct the student'"'"'s performance errors. Embodiments of the invention modify the individual performance data model of the student to incorporate significant body movement trends exhibited by elite or superior performers that are related to body segment size. Further embodiments of the invention modify the individual performance data model for evaluating and scoring the student'"'"'s actual performance of the skill, and for evaluating and fitting equipment the student uses to perform the skill. In particular, embodiments of the invention seek to alleviate the technical problem of how to process video data streams captured of the student'"'"'s actual performance of the skill to automate the identification of errors in the student'"'"'s performance, to automate the corrective action the student must take to improve his/her performance and/or to avoid such errors, and to automatically assess the suitability and performance of equipment the student uses to perform the skill.

Claims

1. A method of providing a quantitative analysis of a subject'"'"'s performance in undertaking a physical skill or task, the method comprising:

(i) obtaining a set of body measurements representative of one or more physical characteristics of the subject'"'"'s body;

(ii) modifying an elite performance data model representative of a body movement pattern associated with a superior performance of the skill or task in accordance with the set of the subject body measurements to provide a customized individual subject performance data model representative of the body movement pattern for an ideal performance of the skill or task by the subject;

(iii) capturing video data of the subject undertaking the physical skill or task;

(iv) determining from the captured video data a set of data representative of the subject'"'"'s body movements while undertaking the skill or task;

(v) identifying positional differences between body movements represented by the body movement data set derived from the video data, and body movements represented by the individual subject performance data model; and

(vi) quantifying one or more of the identified positional differences to provide a quantitative analysis of the extent to which the body movement pattern of the subject while undertaking the skill or task differs from the body movement pattern represented by the individual subject performance data model,

wherein a quantitative analysis of the subject'"'"'s performance in undertaking the skill or task is provided.

2. The method of claim 1, further comprising reporting quantified positional differences.

3. The method of claim 2, wherein reporting comprises generating a score for one of:

(i) one or more of each of the identified positional differences, and (ii) a group of the identified positional differences, that is representative of the extent to which the movement pattern of the subject while undertaking the skill or task differs from that represented by the individual subject performance data model.

4. The method of claim 2, further comprising setting a level of significance for the positional differences and selecting only those identified positional differences which exceed the set level of significance for reporting.

5. The method of claim 3, further comprising setting a level of significance for the positional differences and reporting only those identified positional differences which exceed the set level of significance.

6. The method according to claim 3, wherein reporting comprises retrieving from a data store and for one of:

(i) each of the identified positional differences, and (ii) the group of identified positional differences, one or more phrases that convey to the subject in the parlance of the skill or task being undertaken a reason for the difference between the subject'"'"'s body movement pattern while undertaking the skill or task and that which is represented by the individual subject performance data model.

7. The method according to claim 4, wherein reporting comprises retrieving from a data store and for one of:

(i) each of the identified positional differences, and (ii) the group of identified positional differences, one or more phrases that convey to the subject in the parlance of the skill or task being undertaken a reason for the difference between the subject'"'"'s body movement pattern while undertaking the skill or task and that which is represented by the individual subject performance data model.

8. The method of claim 1, wherein the set of body measurements of the subject'"'"'s body is derived from video images of the subject.

9. The method of claim 1, wherein the set of body measurements is derived from information provided by the subject.

10. The method of claim 1, further comprising determining from the set of body measurements of the subject'"'"'s body significant body-segment measurements, and further modifying the individual subject performance data model to account for limitations imposed upon the subject'"'"'s ideal performance of the skill or task by the significant body-segment measurements.

11. The method of claim 1, further comprising deriving from the video data captured while the subject undertakes the skill or task, an equipment data set representative of equipment movement as the subject performs the skill or task.

12. The method of claim 10, further comprising modifying an elite equipment data model representative of an equipment movement pattern associated with superior performance of the skill or task in accordance with the set of body measurements of the subject'"'"'s body to provide a customized individual subject equipment performance data model representative of an equipment movement pattern for an ideal performance of the skill or task by the subject

13. The method of claim 10, further comprising comparing the equipment data set derived from the video data captured while the subject performs the skill or task with the individual subject equipment performance data model;

and identifying positional differences between equipment movements represented by the equipment movement data set derived from the video data, and equipment movements represented by the individual subject equipment performance data model.

14. The method of claim 12, further comprising quantifying any identified positional differences to provide a quantitative analysis of the extent to which the movement pattern of the subject'"'"'s equipment while undertaking the skill or task differs from the individual subject equipment movement pattern represented by the individual subject equipment performance data model.

15. The method of claim 13, further comprising generating a score for one of:

(i) one or more of each of the identified differences, and (ii) a group of identified differences, that is representative of the extent to which the movement pattern of the subject'"'"'s equipment while undertaking the skill or task differs from that represented by the individual subject equipment performance data model.

16. The method of claim 12, further comprising determining from the set of body measurements of the subject significant body-segment measurements, and further modifying the individual subject equipment performance data model to account for limitations imposed upon the equipment'"'"'s ideal performance by the subject'"'"'s significant body-segment measurements.

17. The method of claim 15, further comprising determining a set of equipment fitting parameters from one of:

(i) one or more of the identified and quantified differences, and (ii) from the modified individual subject equipment performance data model.

18. A computer program comprising one or more software programs products operable, when executed in an execution environment, configured to implement at least (ii), (iii) and (iv) of the method of claim 1.

19. A method according to claim 14, comprising comparing said set of equipment fitting parameters with a set of stored equipment parameters to identify one or more items of equipment each of which has physical characteristics falling within or within a predetermined acceptable range of said fitting parameters.

20. A system for providing a quantitative analysis of a subject'"'"'s performance in undertaking a physical skill or task, the system comprising:

one or more video capture devices for capturing video data of the subject undertaking the physical task; and

a computer system comprising a processor, and one or more computer program products executable by the processor to;

(i) modify an elite data model representative of a body movement pattern associated with a superior performance of the skill or task in accordance with a set of body measurements representative of one or more physical characteristics of the subject'"'"'s body to thereby provide a customized individual subject performance data model representative of a body movement pattern for an ideal performance of the skill or task by the subject;

(ii) capture video data of the subject undertaking the physical skill or task;

(iii) determine from the captured video data a set of data representative of body movements of the subject while undertaking the skill or task;

(iv) identify positional differences between body movements represented by the set of subject body movement data derived from the video data, and body movements represented by the individual subject performance data model; and

(v) quantify any identified positional differences to provide a quantitative analysis of the extent to which the movement pattern of the subject while undertaking the skill or task differs from the movement pattern represented by the individual subject performance data model,

wherein a quantitative analysis of the subject'"'"'s performance in accomplishing the skill or task is provided.

21. A computer program comprising one or more software elements operable, when executed in an execution environment, to:

(i) modify an elite data model representative of a body movement pattern associated with a superior performance of a physical skill or task in accordance with subject body measurements representative of physical characteristics of a subject'"'"'s body, and thereby provide a customized individual subject performance data model representative of a body movement pattern for an ideal performance of the skill or task by the subject;

(ii) capture video data of the subject undertaking the physical skill or task;

(iii) determine from the captured video data a set of data representative of subject body movements while undertaking the skill or task;

(iv) identify positional differences between body movements represented by the set of body movement data derived from the video data, and body movements represented by the individual subject performance data model; and

(v) quantify any identified positional differences to provide a quantitative analysis of the extent to which the movement pattern of the subject while undertaking the skill or task differs from the movement pattern represented by the individual subject performance data model,

wherein a quantitative analysis of the subject'"'"'s performance in accomplishing the skill or task is provided.