Apparatus and method for analyzing a golf swing

• US 9,492,708 B2
• Filed: 02/06/2014
• Issued: 11/15/2016
• Est. Priority Date: 11/05/2007
• Status: Active Grant

• Current Assignee: Brian Francis Mooney
• Original Assignee: Brian Francis Mooney
• Inventors: Mooney, Brian Francis
• Primary Examiner(s): MYHR, JUSTIN L
• Application Number:
  US14/174,294
• Publication Number:
  US 20140156040A1
• Time in Patent Office: 1,013 Days
• US Class Current: 1/1
• CPC Class Codes: A63B 2069/367 Detection of balance between both feet, i.e. weight distribution
• CPC Class Codes: A63B 2220/51 Force
• 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

Abstract

This invention is an apparatus and method for measuring or analyzing a golf swing. Measurement or analysis is made relative to energy generation and transfer through a player'"'"'s body and club. The measurement or analysis data is principally obtained from the player'"'"'s ground-reaction forces. Processed signals are analyzed with an artificial intelligence system. Ground-reaction forces relate to reaction forces which occur between a standing surface and the player'"'"'s feet. The apparatus and method measures or analyses a golf swing in an automatic manner or in an automatic and interactive manner.

Claims

1. An apparatus for measuring or analysing a golf swing, comprising:

a processor,

a detection means operable to detect ground-reaction forces, and including a plurality of sensors and one or more force plates or pressure pads having a standing surface,

characterised in that

a) the plurality of sensors are positioned under the standing surface at different locations, and the detection means is operable to detect load responses to the standing surface and not deformation responses to the standing surface;

b) information is separately, and not collectively, received from the plurality of sensors, and after being received, some information from some of the plurality of sensors is processed separately from some information from other of the plurality of sensors, and the processor is operable to determine center-of-pressure information by separately receiving and processing information from the plurality of sensors that are positioned under the standing surface at different locations;

c) the apparatus includes an artificial intelligence and the processor includes an early-processing program, and information from the plurality of sensors or the detection means, after being received, is processable by the early-processing program into data which better characterises the swing, before being received by the artificial intelligence; and

d) the artificial intelligence is operable to receive and process information from the early-processing program.

2. An apparatus according to claim 1, wherein

the artificial intelligence is operable to predict a parameter from the following selection of energy-parameters across the swing or relevant portions of the swing:

a) magnitudes of segment and sub-segment local energy/forces activations;

b) segment linear and angular kinetic energy levels;

c) absolute speeds of body and club segments, including club head absolute speed;

d) angular and linear positions, velocities and accelerations of body and club segments through the swing, due to displacement by the local muscle group;

e) angular and linear positions, velocities and accelerations of body and club segments through the swing; and

f) angular positions, velocities and accelerations between the trunk and arm segments and between the arm and club segments.

3. An apparatus according to claim 1, wherein

the artificial intelligence is operable to predict a parameter from the following selection of energy-parameters:

a) times of start and completion of segment and sub-segment local energy/forces ramp-ups and ramp-downs;

b) times of latching and unlatching between connecting segments and sub-segments;

c) times of top-of-backswing events for body and club segments;

d) times of maximum muscle stretch-shortening between the various connecting segments;

e) times of local energy generation peaks in segments, sub-segments and club head;

f) times of angular/linear velocity and acceleration peaks in segments, sub-segments and club head;

g) times of auxiliary frontal-plane energy transfer centre-of-pressure velocity and acceleration peaks; and

h) times of commencement and termination of auxiliary frontal-plane characteristics.

4. An apparatus according to claim 1, wherein energy-parameters are automatically analysed or evaluated using all or a selection from the following techniques:

a) evaluation or analysis in light of the optimisation-rules;

b) evaluation or analysis by comparison to the swings of expert players;

c) evaluation or analysis by use of a relative noisiness method;

d) evaluation or analysis by comparison to other swings by the same player; and

e) evaluation and analysis on a health safety basis.

5. An apparatus according to claim 4, where energy-parameters are automatically analysed or evaluated in light of the optimisation-rules, wherein the optimisation rules include those relating to:

a) optimum set-up of the top-of-backswing of segments;

b) optimum magnitude and timings of local energy generation in segments;

c) optimum latching and launching of segments;

d) optimum transfer of energy through swing and flail transfer to the club head; and

e) optimum timing of peak club head speed.

6. An apparatus according to claim 4, where energy-parameters are automatically analysed or evaluated by comparison to the swings of expert players, wherein the analysis or evaluations includes a selection from the following features:

a) comparison to the relevant energy-parameters of the equivalent swing or swing range of an appropriate expert model, the expert model being based on a synthesis of swings by expert players, adjusted to be appropriate to the swing and player under analysis;

b) comparison is made to expert traits in energy parameters, including the timing and varying magnitudes of local energy generation, the manner in which segments are unlatched and launched, and the timed mechanics of the more distal swing and flail mechanisms; and

c) comparison is made to a synthesis where errors are eliminated and expert traits, as most commonly displayed by experts, are retained, the synthesis being adjusted to allow for the player'"'"'s body type and body weight, the basis for such adjustment being determined from study of the experts themselves, where wide ranges of body type and weight exist.

7. An apparatus according to claim 4, where energy-parameters are automatically analysed or evaluated by use of a relative noisiness method, where the method relates to analysing the noise level of a predicted network outputs for a swing, or portion of a swing, and inferring better performance with reducing noise level;

and

wherein the analysis or evaluations includes a selection from the following features;

a) comparison is made to the noisiness level of a reference swing or other reference value;

b) comparison is made to a reference swing based on the play of expert players;

c) levels of noisiness are established as measures of goodness of fit or quality of fit of the raw output data to smoothed output data; and

d) analysis or evaluation is used to highlight relative weaknesses or strengths at different threshold levels across the swing.

8. An apparatus according to claim 4, where energy-parameters are automatically analysed or evaluated by comparison to other swings by the same player, wherein the analysis or evaluations includes all or a selection from the following comparisons:

a) comparison to a player'"'"'s history of previous swings;

b) comparison to an immediate series of swings with the same club; and

c) comparison to swings carried out with other clubs.

9. An apparatus according to claim 4, where energy-parameters are automatically analysed or evaluated on a health safety basis, wherein the analysis or evaluations includes all or a selection from the following comparisons:

a) identification of potential risks of injury inherent in a player'"'"'s existing swings; and

b) identification of potential risks of injury which might arise from attempted changes in a player'"'"'s energy generation and transmission.

10. An apparatus according to claim 4, wherein a selection is made from the following group:

energy-parameters are analysed in conjunction with external apparatus or systems, including additional sensing means, which provide further information on the swing;

energy-parameters are prepared for human presentation, including use by coaches or players for analysis of a player'"'"'s swing;

the system is operable to provide evaluation or analysis which does not require further human analysis or interpretation;

the apparatus comprises an interactive training means and a communication means, wherein

the interactive training means communicates with the processor to provide automatic interactive training to a player;

the interactive training means is operable to prompt a training element and the communication means is operable to communicate the training element to the player;

interactive training elements are pre-prepared by experts familiar with such energy generation and transfer within the swing, with how they can be improved and how improvement can be effectively communicated to a player;

the processor is operable to process the energy-parameters from sensory information from the detection means, process information from the artificial intelligence means, analyse the results, process the interactive training routines and communicate with the communication means;

the training data means comprises means which are operable to provide training data to the processor, and include a selection from data storage, retrieval and transmission devices including internet connections, CD and DVD readers and electronic memory, both external and within the system;

the communication means includes means which allow the apparatus to communicate with the player or coach, including visual display screens and wireless audio receivers, the communication means also including means which allow the player or coach to communicate with the apparatus, including visual touch screens and keyboards.

11. An apparatus according to claim 1, wherein a selection is made from the following group:

the detection means is a force plate which is operable to measure vertical and side ground-reaction forces;

the detection means is a force plate or a pressure pad which is operable to measure only vertical ground-reaction forces;

the detection means comprises two platforms or pad sections, which are operable to separately measure ground-reaction forces for the player'"'"'s left and right feet.

12. An apparatus according to claim 1, wherein a selection is made from the following group:

the artificial intelligence is used to predict different energy-parameters, extract different types of energy-parameters and to predict energy-parameters for different club types.

13. The apparatus according to claim 1, wherein

the detection means comprises one force plate having four corner positions, with one or more of the plurality of sensors being positioned at each of the respective four corner positions, and

the processor is operable to determine the center-of-pressure information by separately receiving and processing information from the one or more of the plurality of sensors that are positioned at each of the respective four corner positions.

14. The apparatus according to claim 1, wherein

the detection means comprises two or more force plates each having four corner positions, with one or more of the plurality of sensors being positioned at each of the respective four corner positions of the two or more force plates, and

the processor is operable to determine the center-of-pressure information by separately receiving and processing information from the one or more of the plurality of sensors that are positioned at each of the respective four corner positions of the two or more force plates.

15. A method for measuring or analysing a golf swing using ground-reaction forces, including the step of obtaining ground-reaction force information during the swing, characterized by the steps of:

a) obtaining ground-reaction force information as load response information, and not deformation response information;

b) receiving the obtained information separately and not collectively, and processing some of the received information separately from other received information, and determining center-of-pressure information by separately receiving and processing information from separately obtained ground-reaction force information;

c) processing the received information into data which better characterizes the swing; and

d) receiving and processing the processed data by artificial intelligence.

16. A method according to claim 15, wherein

the artificial intelligence is operable to predict a parameter from the following selection of energy-parameters across the swing or relevant portions of the swing:

a) magnitudes of segment and sub-segment local energy/forces activations;

b) segment linear and angular kinetic energy levels;

c) absolute speeds of body and club segments, including club head absolute speed;

d) angular and linear positions, velocities and accelerations of body and club segments through the swing, due to displacement by the local muscle group;

e) angular and linear positions, velocities and accelerations of body and club segments through the swing; and

f) angular positions, velocities and accelerations between the trunk and arm segments and between the arm and club segments.

17. A method according to claim 15, wherein

the artificial intelligence is operable to predict a parameter from the following selection of energy-parameters:

a) times of start and completion of segment and sub-segment local energy/forces ramp-ups and ramp-downs;

b) times of latching and unlatching between connecting segments and sub-segments;

c) times of top-of-backswing events for body and club segments;

d) times of maximum muscle stretch-shortening between the various connecting segments;

e) times of local energy generation peaks in segments, sub-segments and club head;

f) times of angular/linear velocity and acceleration peaks in segments, sub-segments and club head;

g) times of auxiliary frontal-plane energy transfer centre-of-pressure velocity and acceleration peaks; and

h) times of commencement and termination of auxiliary frontal-plane characteristics.

18. A method according to claim 15, wherein

energy-parameters are automatically analysed or evaluated using all or a selection from the following techniques:

a) evaluation or analysis in light of the optimisation-rules;

b) evaluation or analysis by comparison to the swings of expert players;

c) evaluation or analysis by use of a relative noisiness method;

d) evaluation or analysis by comparison to other swings by the same player; and

e) evaluation and analysis on a health safety basis.

19. A method according to claim 18, where energy-parameters are automatically analysed or evaluated in light of the optimisation-rules, wherein the optimisation rules include those relating to:

a) optimum set-up of the top-of-backswing of segments;

b) optimum magnitude and timings of local energy generation in segments;

c) optimum latching and launching of segments;

d) optimum transfer of energy through swing and flail transfer to the club head; and

e) optimum timing of peak club head speed.

20. A method according to claim 18, where energy-parameters are automatically analysed or evaluated by comparison to the swings of expert players, wherein the analysis or evaluations includes a selection from the following features:

a) comparison to the relevant energy-parameters of the equivalent swing or swing range of an appropriate expert model, the expert model being based on a synthesis of swings by expert players, adjusted to be appropriate to the swing and player under analysis;

b) comparison is made to expert traits in energy parameters, including the timing and varying magnitudes of local energy generation, the manner in which segments are unlatched and launched, and the timed mechanics of the more distal swing and flail mechanisms; and

c) comparison is made to a synthesis where errors are eliminated and expert traits, as most commonly displayed by experts, are retained, the synthesis being adjusted to allow for the player'"'"'s body type and body weight, the basis for such adjustment being determined from study of the experts themselves, where wide ranges of body type and weight exist;

and where energy-parameters are automatically analysed or evaluated by use of a relative noisiness method, where the method relates to analysing the noise level of a predicted network outputs for a swing, or portion of a swing, and inferring better performance with reducing noise level.

21. A method according to claim 20, wherein the analysis or evaluations includes a selection from the following features:

a) comparison is made to the noisiness level of a reference swing or other reference value;

b) comparison is made to a reference swing based on the play of expert players;

c) levels of noisiness are established as measures of goodness of fit or quality of fit of the raw output data to smoothed output data; and

d) analysis or evaluation is used to highlight relative weaknesses or strengths at different threshold levels across the swing.

22. A method according to claim 18, where energy-parameters are automatically analysed or evaluated by comparison to other swings by the same player, wherein the analysis or evaluations includes all or a selection from the following comparisons:

a) comparison to a player'"'"'s history of previous swings;

b) comparison to an immediate series of swings with the same club; and

c) comparison to swings carried out with other clubs.

23. A method according to claim 18, where energy-parameters are automatically analysed or evaluated on a health safety basis, wherein the analysis or evaluations includes all or a selection from the following comparisons:

a) identification of potential risks of injury inherent in a player'"'"'s existing swings; and

b) identification of potential risks of injury which might arise from attempted changes in a player'"'"'s energy generation and transmission.

24. A method according to claim 18, wherein a selection is made from the following group:

energy-parameters are analysed in conjunction with externally obtained information, including additional information sensed on the swing;

energy-parameters are prepared for human presentation, including use by coaches or players for analysis of a player'"'"'s swing;

the system is operable to provide evaluation or analysis which does not require further human analysis or interpretation;

information is processed in an interactive manner, and the method is operable to prompt a training element and communicate the training element to the player;

interactive training elements are pre-prepared by experts familiar with such energy generation and transfer within the swing, with how they can be improved and how improvement can be effectively communicated to a player; and

sensory information is processed;

the artificial intelligence obtains the energy-parameters from the processed information;

the energy-parameters are processed to analyse or evaluate the swing; and

interactive training routines are processed and communicated to a user, such as a player or coach.

25. A method according to claim 24, wherein

interactive training includes provision of training data, including a selection from sources including data storage, data retrieval and data transmission, including Internet sources, CD and DVD sources, and external and internal memory sources;

and

communication to a user, such as a player or coach, includes visual and audio methods, and communication by a user includes touch-screen and keyboard methods.

26. A method according to claim 15, wherein a selection is made from the following group:

ground-reaction forces are sensed resulting from loads applied by the feet of the player;

vertical and side ground-reaction forces are sensed; and

only vertical ground-reaction forces are sensed;

ground-reaction forces are separately sensed or measure for the player'"'"'s left and right feet.

27. A method according to claim 15, wherein a selection is made from the following group:

the artificial intelligence is used to predict different energy-parameters, extract different types of energy-parameters and to predict energy-parameters for different club types.