Apparatus and method for analyzing a golf swing

• US 10,307,640 B2
• Filed: 09/13/2012
• Issued: 06/04/2019
• Est. Priority Date: 09/20/2011
• Status: Active Grant

• Current Assignee: Brian Francis Mooney
• Original Assignee: Brian Francis Mooney
• Inventors: Mooney, Brian Francis
• Primary Examiner(s): Shah, Milap
• Assistant Examiner(s): Pinheiro, Jason
• Application Number:
  US14/345,626
• Publication Number:
  US 20140342844A1
• Time in Patent Office: 2,455 Days
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/1127 using markers
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/225 of the fingers, e.g. by monitoring hand-grip force
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A63B 24/0006 Computerised comparison for qualitative assessment of motion sequences or the course of a movement
• CPC Class Codes: A63B 69/36 for golf
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G09B 19/0038 Sports

Abstract

The system analyzes a golf swing, determining individual joint powers generated in a player'"'"'s body with high levels of accuracy, using inverse dynamics and detailed modelling of the player'"'"'s body. A depth camera is used to measure body segment shapes and a magnetic motion capture system and 3D force plate system used to measure swing parameters. The system produces an expeditious analysis without the need for highly skilled technical personnel and is suitable for individual coaching and compilation of large golf swing databases.

Claims

1. An apparatus for providing instructions to adjust a three-dimensional (3D) motion of a golf swing involving a player and club, comprising:

a motion-capture device for tracking the three-dimensional (3D) motion of the player and the club during the golf swing, the motion-capture device configured to capture the 3D motion as kinematic data that are related to forces that cause or are associated with the 3D motion;

a processor connected to the motion-capture device and configured to;

model the player and the club using a plurality of rigid segments and a plurality of joints to represent the player and the club, wherein the plurality of rigid segments are linked using the plurality of joints,

determine, sequentially joint-by-joint or segment-by-segment in a distal-to-proximal direction or a proximal-to-distal direction along the plurality of rigid segments linked by the plurality of joints, one or more kinetic parameters for each of the plurality of joints that represent the player and the club based on the kinematic data, and

determine an amount or rate of energy generated across one or more joints of the plurality of joints that link the plurality of rigid segments during the golf swing; and

an output device that is configured to output instructions based on the one or more kinetic parameters and the amount or rate of energy generated.

2. The apparatus of claim 1, wherein the amount or rate of energy generated includes at least one of energy generated by one or more muscles acting directly about a joint of the plurality of joints or energy generated by a product of torque and angular displacement of adjacent segments about the joint.

3. The apparatus of claim 2, wherein the processor is configured to:

construct the model of the player in a format relevant to inverse dynamics calculations,

wherein the motion-capture device comprises a depth determination camera with an inbuilt processor that is configured to extract a jointed segment model of the player.

4. The apparatus of claim 1, wherein the motion-capture device has one or more active sensors positioned on the player or is a photographic motion capture device with one or more passive markers or targets positioned on the player to capture the 3D motion of the player.

5. The apparatus of claim 1, wherein the motion-capture device is a magnetic motion capture device and is configured to directly track a 3D position and 3D orientation of the club and the player in a magnetic reference field, wherein the magnetic motion capture device is configured to:

directly track the club by tracking a sensor on an upper portion of the club that is below a grip of the club;

or

directly track the player by tracking one or more sensors on the player.

6. The apparatus of claim 1, further comprising:

a ground-reaction force device for measuring or determining ground-reaction forces during the golf swing and between a ground and a left foot of the player and the ground and a right foot of the player, wherein the ground-reaction force device measures the ground-reaction forces on three mutually orthogonal axes or in a vertical direction, wherein the processor is configured to determine the one or more kinetic parameters further based on the ground-reaction forces.

7. The apparatus of claim 1, further comprising:

a joint position device configured to obtain a joint position of each joint of the plurality of joints;

a mass determining device configured to obtain 3D center-of-mass data of each rigid segment of the plurality of rigid segments; and

a moment-of-inertia device configured to determine 3D moments-of-inertia for each rigid segment of the plurality of rigid segments based on the 3D center-of-mass data and the joint positions.

8. The apparatus of claim 7, wherein the processor is configured to determine the one or more kinetic parameters further based on the 3D moments-of-inertia for each rigid segment of the plurality of rigid segments.

9. The apparatus of claim 7, further comprising:

a segment shaping device configured to determine a 3D shape or volume of each rigid segment of the plurality of rigid segments, wherein the mass determining device is configured to apply a density to the 3D shape or volume of each rigid segment to obtain the 3D center-of-mass data.

10. The apparatus of claim 9, wherein the segment shaping device includes a palpation device with a stylus sensor, a structured light, a time-of-flight or a stereo imaging depth camera configured to extract a jointed segment model from a set of images.

11. The apparatus of claim 7, further comprising:

a gravitational force device configured to determine gravitational forces acting on the plurality of rigid segments during the golf swing, wherein the processor is configured to determine the one or more kinetic parameters further based on the gravitational forces.

12. The apparatus of claim 11, wherein the mass determining device is further configured to obtain mass data based on 3D shape or volume data, wherein the gravitational force device is configured to determine the gravitational forces based on the mass data and the 3D center-of-mass data.

13. The apparatus of claim 1, wherein the motion-capture device or processor is configured to measure or determine body segment inertial parameters with respect to 3D geometric shapes including

calculating shapes and volumes of body segments of the player simplified geometric representations of the plurality of rigid segments of the player.

14. The apparatus of claim 1, wherein the motion-capture device or processor is configured to measure or determine body segment inertial parameters when assisted by palpation by a human operator using the following:

an implement that is a stylus that is placed at an anatomical landmark,

wherein the motion-capture device is configured to track the stylus in a reference frame of the motion-capture device;

or wherein the motion-capture device

includes a stylus which operates within a magnetic reference frame and is configured to measure, relative to a sensor, positions of points on a surface of the player or the club.

15. The apparatus of claim 7, wherein at least one of the moment-of-inertia device or processor is configured to measure or determine body segment inertial parameters (BSIPs) based on 3D surfaces of the player.

16. The apparatus of claim 15, wherein the moment-of-inertia device or processor is configured to measure or determine BSIPs by moving a stylus tracked by motion capture over representative portions of a segment surface, causing a succession of surface points to be measured and recorded, and continuing to collect points at least until sufficient points have been collected to determine a shape of the segment surface, and then determining the shape of the segment surface from the measured surface points.

17. The apparatus of claim 15, wherein the motion-capture device includes a 3D camera that is configured to determine the 3D surfaces of a body of the player using optical depth determination.

18. The apparatus of claim 15, wherein the motion-capture device includes a 3D camera that is configured to determine the 3D surfaces of a body of the player using optical depth determination and wherein the processor is configured to:

determine portions of surfaces of segments by optical depth determination when the player executes poses and motions;

determine 3D shapes of segments from the determined portions of surfaces;

construct a model of the player with the 3D shapes;

apply predetermined densities to the 3D shapes; and

determine BSIPs from the model and densities applied to the 3D shapes.

19. The apparatus of claim 15, wherein the motion-capture device includes a 3D camera that is configured to measure or determine the 3D surfaces of a body of the player using optical depth determination, wherein the processor is configured to:

determine portions of surfaces of segments of the body by optical depth determination when the player executes poses and motions;

determine 3D shapes of the segments from the determined portions of the surfaces of the segments;

determine segment reference frames and estimates of joint centers from motion capture of the player executing poses and motions;

construct a model of the player from the joint centers and the 3D shapes;

apply predetermined densities to the 3D shapes; and

determine BSIPs from the constructed model and from the densities applied to the 3D shapes.

20. The apparatus of claim 19, wherein

optical depth determination and motion capture are carried out simultaneously and

carried out in a common location.

21. The apparatus of claim 1, wherein the processor is configured to carry out monitoring checks, wherein to carry out the monitoring checks the processor is configured to:

construct a model of the player and the club using anthropometric landmarks that are measured and recorded, and

display the constructed model to an operator or user;

or

calculate a length for each of the plurality of rigid segments, and

check symmetry in the calculated lengths between corresponding pairs of rigid segments that represent a left body part of the player and a right body part of the player.

22. The apparatus of claim 1, wherein the motion-capture device is configured to:

measure or determine a clubhead speed profile of the club when a clubhead of the club approaches impact with a ball; and

measure or determine a clubhead speed profile after impact with the ball;

wherein the processor is configured to;

determine a change in clubhead speed at impact; and

adjust the clubhead speed profile approaching, through and after impact based on the change in the clubhead speed at impact.

23. The apparatus of claim 22, wherein the processor is configured to:

detect an impact shock wave at one or more points of the club or the player to determine a time of impact.

24. The apparatus of claim 1, wherein the processor is configured to train an artificial intelligence using ground reaction force parameter inputs and energy parameter outputs;

use the trained artificial intelligence to predict energy parameters of an end-use swing.

25. The apparatus of claim 1, wherein the motion-capture device includes a magnetic motion-capture device and one or more electronic sensors or emitters, wherein the magnetic motion-capture device is configured to track the one or more electronic sensors or emitters in a magnetic reference field.

26. The apparatus of claim 1, wherein the motion-capture device includes a high-speed camera and one or more passive markers attached to the player, wherein the high-speed camera tracks the one or more passive markers.

27. The apparatus of claim 1, further comprising:

a joint position device configured to measure a joint position of each joint of the plurality of joints of the player;

a mass determining device configured to;

measure 3D shape or volume data of the player; and

obtain mass data and 3D center-of-mass data of each rigid segment of the plurality of rigid segments of the player based on the 3D shape or volume data of the player;

a moment-of-inertia device configured to obtain 3D moments-of-inertia for each rigid segment of the plurality of rigid segments of the player based on the 3D center-of-mass data and the joint positions; and

a gravitational force device configured to determine gravitational forces acting on the plurality of rigid segments of the player during the golf swing based on the mass data and the 3D center-of-mass data;

wherein the processor is configured to determine the one or more kinetic parameters further based on the gravitational forces and on the 3D moments-of-inertia.

28. A method of providing instructions to adjust a three-dimensional (3D) motion of a golf swing involving a player and club, comprising:

capturing, using a motion-capture device, the three-dimensional (3D) motion of the player and the club during the golf swing as kinematic data that are related to forces that cause or are associated with the 3D motion;

modelling, using a processor, the player and the club as a plurality of rigid segments and a plurality of joints to represent the player and the club, wherein the plurality of rigid segments are linked by the plurality of joints;

determining, using the processor, sequentially joint-by-joint or segment-by-segment in a distal-to-proximal direction or a proximal-to-distal direction along the plurality of rigid segments linked by the plurality of joints, one or more kinetic parameters for each of the plurality of joints that represent the player and the club based on the kinematic data;

determining, using the processor, an amount or rate of energy generated across one or more joints of the plurality of joints that link the plurality of rigid segments during the golf swing; and

outputting, using an output device, instructions based on the one or more kinetic parameters and the amount or rate of energy generated.

29. The method of claim 28, wherein determining the amount or rate of energy generated includes:

measuring energy generated by one or more muscles acting directly about a joint of the plurality of joints;

or

measuring energy generated from a product of torque and angular displacement of adjacent segments about the joint.

30. The method of claim 28, wherein the motion-capture device has one or more active sensors positioned on the player or is a photographic motion capture device with one or more passive markers or targets positioned on the player to capture the 3D motion of the player.

31. The method of claim 28, wherein capturing the 3D motion of the player and the club includes directly tracking a 3D position and 3D orientation of the club and the plurality of rigid segments, wherein directly tracking the 3D position and 3D orientation of the club and the plurality of rigid segments includes:

directly tracking the club using a sensor positioned on an upper portion of the club that is below a grip of the club; and

directly tracking the player using one or more sensors on the player.

32. The method of claim 28, further comprising:

measuring ground reaction forces (GRFs) in three mutually orthogonal axes or in a vertical direction,

wherein determining the one or more kinetic parameters is further based on the ground-reaction forces.

33. The method of claim 28, further comprising:

obtaining, using a joint position device, a joint position of the plurality of joints;

obtaining, using a mass determining device, 3D center-of-mass data of a rigid segment of the plurality of rigid segments; and

determining, using a moment-of-inertia device, 3D moment-of-inertia data of the rigid segment based on the 3D center-of-mass data and the joint position.

34. The method of claim 33, wherein determining the one or more kinetic parameters is further based on the 3D moment-of-inertia data of the rigid segment.

35. The method of claim 33, further comprising:

determining a 3D shape or volume of each rigid segment of the plurality of rigid segments.

36. The method of claim 35, further comprising:

determining gravitational forces acting on the plurality of rigid segments during the golf swing, wherein determining the one or more kinetic parameters is further based on the gravitational forces.

37. The method of claim 36, further comprising:

obtaining mass data based on 3D shape or volume data; and

wherein determining the gravitational forces is based on the mass data and the 3D center-of-mass data.

38. The method of claim 28, further comprising measuring or determining body segment inertial parameters by palpation by a human operator including:

placing an implement that is a stylus at an anatomical landmark; and

tracking, using the motion-capture device, the implement in a reference frame.

39. The method of claim 28, further comprising measuring or determining one or more body segment inertial parameters (BSIPs) based on 3D surfaces of the player.

40. The method of claim 39, wherein measuring or determining one or more body segment inertial parameters is based on 3D geometric shapes and includes:

calculating shapes and volumes of body segments using simplified geometric representations of the plurality of rigid segments of the player.

41. The method of claim 39, wherein measuring or determining the one or more BSIPs includes:

moving a stylus tracked by the motion;

capture device over representative portions of a segment surface;

measuring and recording a succession of surface points until sufficient points have been collected to determine a shape of the segment surface; and

determining the shape of the segment surface from the measured surface points.

42. The method of claim 39, wherein optical depth determination is used to determine the 3D surfaces of the player.

43. The method of claim 39, wherein further comprising determining the 3D surfaces of the player using optical depth determination including:

determining portions of surfaces of segments by optical depth determination when the player executes poses and motions;

determining joint centers and reference frames for the segments;

constructing a model of the player using 3D shapes of the segments fitted to the joint centers and the reference frames;

applying densities to the 3D shapes; and

determining BSIPs based on the constructed model and the densities applied to the 3D shapes.

44. The method of claim 43, wherein

optical depth determination and motion capture are carried out simultaneously and

carried out in a common location.

45. The method of claim 28, further comprising:

constructing a model of the player and the club using anthropometric landmarks; and

displaying the constructed model to an operator or user.

46. The method of claim 28, further comprising:

measuring a clubhead speed of the club before impact with a ball;

measuring the clubhead speed after impact with the ball;

determining a change in the clubhead speed at impact; and

adjusting a clubhead speed profile before, through and after impact based on the change in the clubhead speed at impact.

47. A method according to claim 46, further comprising detecting an impact shock wave through the club and the player to determine a time of impact.

48. The method of claim 28, further comprising:

training an artificial intelligence using one or more ground reaction force (GRF) parameter inputs and energy parameter outputs; and

predicting energy parameters using the trained artificial intelligence.