Golf gaming systems and methods

• US 9,283,464 B2
• Filed: 08/01/2008
• Issued: 03/15/2016
• Est. Priority Date: 08/03/2007
• Status: Expired due to Fees

• Current Assignee: Bango LLC
• Original Assignee: Lynqs, Inc.
• Inventors: Nipper, J. Matthew, Whitebook, Mark, Sutton, George, Powers, Lyle
• Primary Examiner(s): McCulloch, Jr., William H
• Application Number:
  US12/185,013
• Publication Number:
  US 20090036237A1
• Time in Patent Office: 2,783 Days
• Field of Search: 473/131, 473150-156, 473/199, 473/406, 473/409
• US Class Current: 1/1
• CPC Class Codes: A63B 2024/0012 Comparing movements or motion sequences with a registered reference
• CPC Class Codes: A63B 2024/0028 Tracking the path of an object, e.g. a ball inside a soccer pitch
• CPC Class Codes: A63B 2024/0031 at the starting point
• CPC Class Codes: A63B 2024/0034 during flight
• CPC Class Codes: A63B 2024/0037 on a target surface or at impact on the ground
• CPC Class Codes: A63B 2024/004 Multiple detectors or sensors each defining a different zone
• CPC Class Codes: A63B 2024/0043 Systems for locating the point of impact on a specific surface
• CPC Class Codes: A63B 2024/0046 Mechanical means for locating the point of impact or entry
• CPC Class Codes: A63B 2024/005 Keeping track of the point of impact or entry
• CPC Class Codes: A63B 2024/0053 for locating an object, e.g. a lost ball
• CPC Class Codes: A63B 2024/0056 for statistical or strategic analysis
• CPC Class Codes: A63B 2220/13 Relative positions
• CPC Class Codes: A63B 2220/18 Inclination, slope or curvature
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/35 Spin
• CPC Class Codes: A63B 2220/44 Angular acceleration
• CPC Class Codes: A63B 2220/62 Time or time measurement used for time reference, time stamp, master time or clock signal
• CPC Class Codes: A63B 2220/72 Temperature
• CPC Class Codes: A63B 2220/74 Atmospheric pressure
• CPC Class Codes: A63B 2220/75 Humidity
• CPC Class Codes: A63B 2220/76 : Wind conditions
• CPC Class Codes: A63B 2220/78 : Surface covering conditions, e.g. of a road surface
• CPC Class Codes: A63B 2220/802 : Ultra-sound sensors
• CPC Class Codes: A63B 2220/805 : Optical or opto-electronic sensors
• CPC Class Codes: A63B 2225/20 : with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/54 : Transponders, e.g. RFID
• CPC Class Codes: A63B 24/0006 : Computerised comparison for qualitative assessment of motion sequences or the course of a movement
• CPC Class Codes: A63B 24/0021 : Tracking a path or terminating locations
• CPC Class Codes: A63B 60/46 : Measurement devices associated with golf clubs, bats, rackets or the like for measuring physical parameters relating to sporting activity, e.g. baseball bats with impact indicators or bracelets for measuring the golf swing
• CPC Class Codes: A63B 69/3605 : Golf club selection aids informing player of his average or expected shot distance for each club
• CPC Class Codes: A63B 69/3623 : for driving A63B69/3608, A63B69/3658, A63B69/3661, A63B69/3667 and A63B69/3691 take precedence
• CPC Class Codes: A63B 69/3658 : Means associated with the ball for indicating or measuring, e.g. speed, direction

Abstract

The present inventions relate to golf gaming systems and methods for evaluating a golfer'"'"'s performance and facilitating golf gaming and competition. Specifically, The present invention provides methods, locations, installations, devices and systems adapted and arranged for observing, processing, analyzing and communicating data and images of individual or group golf gaming performance with respect to golf balls in play in three-dimensional environments.

Claims

1. A competitive, multi-player golf method comprising:

a. a golfing installation comprising;

i. at least one tee area comprising a launch monitoring system (LMS),

ii. a target field comprising an impact detection system (IDS), wherein the IDS comprises at least one or more sensors disposed in a network within or above the target field,

b. a multi-player golf method comprising;

i. first golfer swinging and striking a first golf ball with a golf club in the tee area;

ii. detecting via the LMS

one or more parameters of the struck golf ball;

iii. analyzing via flight modeling software the parameter(s) of the struck golf ball and/or the swing of the golf club to calculate a flight model for predicting the trajectory, landing position, and landing time of the golf ball,

iv. if the golf ball lands in the target field, gathering impact data via the IDS, wherein the impact data comprises an impact landing position and impact time;

v. correlating the flight model with the impact data to determine a true impact position for the golf ball;

vi. simulating the final segments of travel of the golf ball by applying additional positional data to the true impact position and/or the flight model, wherein said additional positional data comprises virtual target field characteristics and said virtual target field characteristics comprise computer-generated topography, texture of a terrain in said target field, and/or relative frictional characteristics of a terrain in said target field, wherein said virtual target field characteristics comprise the terrain, type of terrain, frictional characteristics, or any combination thereof from a historical or existing golf course;

vii. integrating the flight model, the true impact position with additional positional data to generate performance data;

viii. comparing the performance data of the first golfer with the performance data of an additional historical golfer; and

ix. generating a representation of the performance of the first golfer and said additional historical golfer, wherein the performance of said additional historical golfer is at a real golf course at a PGA Tour stop.

2. The method of claim 1, wherein the one or more parameters of the first golf ball is selected from the group consisting of:

time from impact of the club head on the ball to exit of the ball from a detection zone, velocity of the ball, trajectory of the ball within a detection zone, direction of spin of the ball, rate of spin of the ball, angular momentum of the ball, axis of spin of the ball, azimuth angle of the ball, lift and drag coefficients of the ball, brand of the ball, ambient temperature, barometric pressure, relative humidity, wind direction, angle of ascent of the ball, angle of descent of the ball, wind velocity, and wind density.

3. The method of claim 1, wherein the sensor includes radio-wave measurement, light-wave measurement, acoustic measurement, capacitive proximity-sensing, inductive proximity-sensing, active transponders, passive transponders, or any combination thereof.

4. The method of claim 1, wherein the first tee area further comprises a golf ball dispenser.

5. The method of claim 1, wherein the first golf ball comprises an inductive proximity-sensing device, an active transponder, passive transponders, or any combination thereof.

6. The method of claim 5, wherein the passive transponder is a radio frequency identification (RFID) tag and the one or more sensors are configured to read, process and discriminate data of a first RFID of the first golf ball and discriminate the data of the first RFID from an RFID of another golf ball.

7. The method of claim 1, wherein the representation is a graphic representation, numerical representation, audio representation, video representation, or any combination thereof.

8. The method of claim 7, wherein the representation is made visually available via a computerized network.

9. The method of claim 8, wherein the computerized network is the Internet.

10. The method of claim 8, wherein the representation and integrated performance data are stored and made available at one or more later times to the first golfer via a computerized network.

11. The method of claim 10, wherein the representation, integrated performance data, or any combination thereof, is used to calculate a statistical measurement of the first golfer'"'"'s performance.

12. The method of claim 11, wherein the statistical measurement is used to determine a handicap or recommend a club type for a future golf shot.

13. The method of claim 11, wherein the statistical measurement is used to determine a prognostication of required number of future shots to complete a hole.

14. A competitive, multi-player golf method comprising:

a. detecting via a launch monitoring system (LMS) one or more parameters of a first golf ball struck by a first golf club by a first golfer within a first tee area, one or more parameters of a swing of the first golf club used to hit the first golf ball, or any combination thereof, wherein the one or more parameters of the first golf ball is selected from the group consisting of;

time from impact of the club head on the ball to exit of the ball from a detection zone, velocity of the ball, trajectory of the ball within a detection zone, direction of spin of the ball, rate of spin of the ball, angular momentum of the ball, axis of spin of the ball, azimuth angle of the ball, lift and drag coefficients of the ball, brand of the ball, ambient temperature, barometric pressure, relative humidity, wind direction, angle of ascent of the ball, angle of descent of the ball, wind velocity, and wind density; and

wherein the one or more parameters of the golf club swing is selected from the group consisting of;

club head measurements, club head location at impact, club head speed, face angle, loft angle, swing path, rotation speed and rotation direction;

b. detecting via a LMS one or more parameters of a second golf ball struck by a second golf club by a second golfer that is different from said first golfer within the first or a second tee area, one or more parameters of a swing of the second golf club used to hit the second golf ball, or any combination thereof, wherein said first and second golf balls each comprise a passive transponder comprising a radio frequency identification (RFID) tag and the one or more sensors are configured to read, process and discriminate data of a first RFID of the first golf ball and discriminate the data of the first RFID from an RFID of said second golf ball;

c. analyzing via software for flight modeling the one or more parameters of the first golf ball, the swing of the first golf club, or any combination thereof, to calculate a first flight model comprising a predicted trajectory, a predicted landing position, and a predicted landing time of the first golf ball;

d. analyzing via software for flight modeling the one or more parameters of the second golf ball, the swing of the second golf club, or any combination thereof, to calculate a second flight model comprising a predicted trajectory, a predicted landing position, and a predicted landing time of the second golf ball;

e. gathering impact data via an Impact Detection System (IDS) for each ball landing in a target field, said IDS comprising one or more sensors disposed in a network within or above the target field, the impact data comprising an impact landing position in the target field and an impact time for each ball that impacts the terrain within the network, wherein the impact data represents actual target fold characteristics comprising three-dimensional topography of the terrain, type of terrain, and functional characteristics of the terrain;

f. correlating the first and second flight model with the impact data to determine a true impact position for the first golf ball and the second golf ball;

g. generating additional positional data for the first golf ball and the second golf ball by analyzing the first and second flight models and the true impact positions for the first golf ball and the second golf ball;

h. integrating the first and second flight models and the true impact positions for the first golf ball and the second golf ball with additional positional data and virtual target field characteristics for the first and second golf balls to generate a set of integrated performance data for the first golf ball and the second golf ball;

i. comparing the integrated performance data of the first golf ball of said first golfer with the integrated performance data of the second golf ball of said second golfer to obtain results that discriminate between the first golfer and the second golfer;

j. generating a graphic, numerical, audio or visual representation of the results of steps h and i, and presenting the representation on a computerized network wherein said virtual target field characteristics are variable and comprise virtual three-dimensional topography of terrain, virtual type of terrain, virtual frictional characteristics of terrain, or any combination thereof; and

k. providing said first and second golfer with a recommendation of a club type for a future golf shot;

l. providing a prognostication of the number of short game/putting shots for completing a hole, wherein said a prognostication is in the form of a non-integer computation based on past performance or on a handicap of said first and second golfer;

m. comparing the performance data of the first golfer with the performance data of an additional historical golfer in real time; and

n. generating a representation of the performance of the first golfer and said additional historical golfer, wherein the performance of said additional historical golfer is at a real PGA Tour stop golf course.

15. The method of claim 14, wherein the one or more parameters of the first golf club swing is selected from the group consisting of:

club head measurements, club head location at impact, club head speed, face angle, loft angle, swing path, rotation speed and rotation direction.

16. The method of claim 14, wherein the one or more parameters of the first golf ball and/or the first and/or second golf club swing is detected using radio-wave measurement, light-wave measurement, photo-optical position sensing, acoustic measurement, capacitive proximity-sensing, inductive proximity-sensing, active transponders, passive transponders, color-determinative optical sensing, pattern-determinative optical sensing, or any combination thereof.

17. A competitive, multi-player golf method comprising:

a. a golfing installation comprising;

i. at least one tee area comprising a launch monitoring system (LMS),

ii. a target field comprising an impact detection system (IDS), wherein the IDS comprises at least one or more sensors disposed in a network within or above the target field,

b. a multi-player golf method comprising;

i. first golfer swinging and striking a first golf ball with a golf club in the tee area;

ii. detecting via the LMS

one or more parameters of the struck golf ball;

iii. analyzing via flight modeling software the parameter(s) of the struck golf ball and/or the swing of the golf club to calculate a flight model for predicting the trajectory, landing position, and landing time of the golf ball,

iv. if the golf ball lands in the target field, gathering impact data via the IDS, wherein the impact data comprises an impact landing position in the actual terrain of the target field and an impact time for each ball that impacts the target field, wherein the actual target field characteristics comprise at least one member selected from the group consisting of three-dimensional topography of the terrain, type of terrain, and functional characteristics;

v. correlating the flight model with the impact data to determine a true impact position for the golf ball;

vi. simulating the final segments of travel of the golf ball by applying additional positional data to the true impact position and/or the flight model, wherein said additional positional data comprises virtual target field characteristics and said virtual target field characteristics comprise computer-generated topography, texture of a terrain in said target field, and/or relative frictional characteristics of a terrain in said target field, wherein said virtual target field characteristics comprise the terrain, type of terrain, frictional characteristics, or any combination thereof from a historical or existing golf course;

vii. integrating the flight model, the true impact position with additional positional data to generate performance data;

viii. providing said first golfer with a recommendation of a club type for a future golf shot;

ix. comparing the performance data of the first golfer with the performance data of an additional historical golfer; and

x. generating a representation of the performance of the first golfer and historical golfer, wherein the performance of said additional historical golfer is at a real golf course at a real PGA Tour stop.