Method and system for generating athletic signatures

• US 9,737,758 B1
• Filed: 09/20/2013
• Issued: 08/22/2017
• Est. Priority Date: 09/20/2013
• Status: Active Grant

• Current Assignee: Sparta Software Corp
• Original Assignee: Sparta Software Corp
• Inventors: Wagner, Phillip Patrick
• Primary Examiner(s): Lewis, David L
• Assistant Examiner(s): Hoel, Matthew D.
• Application Number:
  US14/033,279
• Time in Patent Office: 1,432 Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 2562/0252 Load cells
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/22 Ergometry; Measuring muscular strength or the force of a muscular blow exercising apparatus A63B21/00 ; measuring of work or force in general G01L
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6843 Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/6892 Mats
• 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 69/36 for golf
• CPC Class Codes: G06F 2218/08 Feature extraction
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G07C 1/22 in connection with sports or games

Abstract

A method for profiling an athlete is discloses. The method comprises storing force-time data for a population of athletes; wherein said force-time data is generated by a sensor system in respect of each of said plurality of athletes in response to the said athlete performing an athletic movement, and comprises values for a concentric net vertical impulse (CON-IMP), an average eccentric rate of force development (ECC-RFD), and an average vertical concentric force (CON-VF); performing a normalization of the force-time data for each athlete based on values of the force-time data within the population of athletes; and generating a profile comprising an athletic signature for each athlete in the population, wherein said profile comprises the normalized values for the concentric net vertical impulse (CON-IMP), the average eccentric rate of force development (ECC-RFD), and the average vertical concentric force (CON-VF) for the athlete.

Claims

1. A method for profiling an athlete, the method comprising:

receiving a plurality of analog signals, by a sensing sub-system, wherein the plurality of analog signals comprises force-time data correlating to a vertical jump performed by each athlete within a population of athletes;

converting, by an analog-to-digital converter, each of the plurality of analog signals into a digital signal;

extracting, by an analytical sub-system, selected portions of the force-time data, the selected portions comprising;

a load phase measurement comprising an average eccentric rate of force development during the vertical jump, an explode phase measurement comprising an average relative concentric force during the vertical jump divided by a weight of the athlete, and a drive phase measurement comprising a concentric relative impulse during the vertical jump;

performing a normalization of the force-time data for each athlete based on values of the force-time data within the population of athletes;

storing the selected portions associated with each athlete to a mass storage device as an athletic signature; and

generating a profile for each athlete based on the athletic signature, wherein the profile is in terms of at least one of suitability for a given sport, proneness to injury, and suitability for particular athletic gear.

2. The method of claim 1, wherein performing the normalization comprises calculating a T-score, for each athlete, for the drive phase measurement comprising the concentric relative impulse during the vertical jump, the load phase measurement comprising the average eccentric rate of force development during the vertical jump, and the explode phase measurement comprising the average relative concentric force during the vertical jump divided by the weight of the athlete.

3. The method of claim 2, wherein each T-score is calculated as an average over a standard deviation.

4. The method of claim 1, wherein the population of athletes comprises athletes who play a particular sport.

5. The method of claim 1, wherein the population of athletes comprises athletes who play a particular position within a particular sport.

6. The method of claim 1, further comprising analyzing the athletic signatures of elite athletes and characterizing said signatures into an archetypal signature corresponding to one of a role within a sport and a sport.

7. The method of claim 1, wherein the force-time data comprises repeating data collected for each athlete when performing the vertical jump at different times.

8. The method of claim 1, wherein the vertical jump comprises a vertical jump from a static position, and the sensing sub-system comprises a force plate.

9. A non-transitory computer-readable medium comprising instructions which when executed by a processing system causes said system to perform a method for profiling an athlete, the method comprising:

receiving a plurality of analog signals by a sensing sub-system, wherein the plurality of analog signals comprises force-time data correlating to a vertical jump performed by each athlete within a population of athletes;

converting, by an analog-to-digital converter, each of the plurality of analog signals into a digital signal;

extracting, by an analytical sub-system, selected portions of the force-time data, the selected portions comprising;

a load phase measurement comprising an average eccentric rate of force development during the vertical jump, an explode phase measurement comprising an average relative concentric force during the vertical jump divided by a weight of the athlete, and a drive phase measurement comprising a concentric relative impulse during the vertical jump;

performing a normalization of the force-time data for each athlete based on values of the force-time data within the population of athletes;

storing the selected portions associated with each athlete to a mass storage device as an athletic signature; and

generating a profile for each athlete based on the athletic signature, wherein the profile is in terms of at least one of suitability for a given sport, proneness to injury, and suitability for particular athletic gear.

10. The computer-readable medium of claim 9, wherein performing the normalization comprises calculating a T-score, for each athlete, for the drive phase measurement comprising the concentric relative impulse during the vertical jump, the load phase measurement comprising the average eccentric rate of force development during the vertical jump, and the explode phase measurement comprising the average relative concentric force during the vertical jump divided by the weight of the athlete.

11. The computer-readable medium of claim 9, wherein each T-score is calculated as an average over a standard deviation.

12. The computer-readable medium of claim 9, wherein the population of athletes comprises athletes who play a particular sport.

13. A system, comprising:

a processor; and

a memory coupled to the processor, the memory storing instructions which when executed by the processor, cause the processor to perform a method for profiling an athlete, the method comprising;

receiving a plurality of analog signals by a sensing sub-system, wherein the plurality of analog signals comprises force-time data correlating to a vertical jump performed by each athlete within a population of athletes;

converting, by an analog-to-digital converter, each of the plurality of analog signals into a digital signal;

extracting, by an analytical sub-system, selected portions of the force-time data, the selected portions comprising;

a load phase measurement comprising an average eccentric rate of force development during the vertical jump, an explode phase measurement comprising an average relative concentric force during the vertical jump divided by a weight of the athlete, and a drive phase measurement comprising a concentric relative impulse during the vertical jump;

performing a normalization of the force-time data for each athlete based on values of the force-time data within the population of athletes;

storing the selected portions associated with each athlete to a mass storage device as an athletic signature; and

generating a profile for each athlete based on the athletic signature, wherein the profile is in terms of at least one of suitability for a given sport, proneness to injury, and suitability for particular athletic gear.

14. The system of claim 13, wherein performing the normalization comprises calculating a T-score, for each athlete, for the drive phase measurement comprising the concentric relative impulse during the vertical jump, the load phase measurement comprising the average eccentric rate of force development during the vertical jump, and the explode phase measurement comprising the average relative concentric force during the vertical jump divided by the weight of the athlete.

15. The system of claim 14, wherein each T-score is calculated as an average over a standard deviation.

16. The system of claim 13, wherein the population of athletes comprises athletes who play a particular sport.

17. The system of claim 13, wherein the population of athletes comprises athletes who play a particular position within a particular sport.

18. The system of claim 13, wherein the method further comprises analyzing the athletic signatures of elite athletes and characterizing said signatures into an archetypal signature corresponding to one of a role within a sport and a sport.

19. The system of claim 13, wherein the force-time data comprises repeating data collected for each athlete when performing the vertical jump at different times.

20. The system of claim 13, wherein the vertical jump comprises a vertical jump from a static position, and the sensing sub-system comprises a force plate.