Swing analysis method using a swing plane reference frame

• US 10,617,926 B2
• Filed: 06/26/2017
• Issued: 04/14/2020
• Est. Priority Date: 07/19/2016
• Status: Active Grant

• Current Assignee: Newlight Capital, LLC
• Original Assignee: Blast Motion Incorporated
• Inventors: Thornbrue, James, Cherveny, Patrick
• Primary Examiner(s): Legesse, Nini F
• Application Number:
  US15/633,094
• Publication Number:
  US 20180021648A1
• Time in Patent Office: 1,023 Days
• Field of Search: 473221-223, 473257, 473409, 473453
• CPC Class Codes: A63B 2069/0008 for batting
• CPC Class Codes: A63B 2071/0694 Visual indication, e.g. Indicia
• CPC Class Codes: A63B 2220/803 Motion sensors
• CPC Class Codes: A63B 69/0002 for baseball
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06F 2218/10 by analysing the shape of a waveform, e.g. extracting parameters relating to peaks
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

A method for analyzing sensor data from baseball swings (or swings in similar sports) that transforms data into a reference frame defined by the bat orientation and velocity at impact. The swing plane defined by these two axes provides a natural and robust reference frame for physically relevant measurements of swing characteristics. Illustrative swing metrics derived from swing plane reference frame data include: swing speed, defined as a rotational rate within the swing plane; total swing angle, defined as the angular change within the swing plane; and swing tempo, defined as the percentage of peak swing speed achieved halfway through the swing. Analyzing these metrics from multiple swings across multiple users identifies factors that contribute to peak performance. Metrics may be combined into multidimensional feature vectors that characterize a swing; these feature vectors may be used to group swings into swing styles or to match swings against similar players.

Claims

1. A swing analysis method using a swing plane reference frame, comprising

obtaining sensor data from a sensor coupled to a piece of equipment or bat during a swing of said piece of equipment or bat by a user to hit or contact a ball,

wherein said piece of equipment or bat comprising a longitudinal axis and where said piece of equipment or said bat has rotational symmetry around said longitudinal axis,

wherein said piece of equipment or bat is configured to be held by a user in any orientation rotated around said longitudinal axis during said swing, and

wherein said sensor comprises a processor;

determining a time of impact between said piece of equipment or bat and said ball from said sensor data via said processor;

calculating a trajectory during said swing from said sensor data via said processor, said trajectory comprising a time series of motion data samples, wherein each motion data sample of said motion data samples comprising one or more of

a position;

an orientation;

a velocity;

an angular velocity;

an acceleration; and

,

an angular acceleration;

calculating an impact velocity vector from said trajectory as said velocity of said piece of equipment or bat at said time of impact via said processor;

defining a swing plane reference frame via said processor, wherein said swing plane reference plane comprising

a first axis defined by a longitudinal axis of said piece of equipment or bat at said time of impact;

a second axis defined by said impact velocity vector; and

,

a third axis orthogonal to a swing plane spanned by said first axis and said second axis;

transforming said trajectory to said swing plane reference frame to form a swing plane frame trajectory via said processor; and

,

analyzing said swing plane frame trajectory to create one or more swing metrics that describe said swing of said piece of equipment or bat by said user via said processor.

2. The method of claim 1, wherein said sensor comprises

a three axis accelerometer that generates acceleration data;

and,

a three axis gyroscope that generates angular velocity data.

3. The method of claim 2, wherein said sensor further comprises

a three axis magnetometer that generates magnetic field data.

4. The method of claim 1, wherein said sensor comprises a plurality of sensors located at different locations on said piece of equipment or bat.

5. The method of claim 1, wherein said sensor generates said sensor data at least ten times per second during said swing of said piece of equipment or bat.

6. The method of claim 1, wherein said sensor generates said sensor data at least one hundred times per second or more during said swing of said piece of equipment or bat.

7. The method of claim 1, wherein said bat comprises one or more of a baseball bat and a softball bat.

8. The method of claim 1, further comprising

calculating a time series of swing plane speed from said swing plane frame trajectory as a rotational speed component in said swing plane via said processor.

9. The method of claim 8, wherein said swing plane speed is a projection of said angular velocity onto said third axis orthogonal to said swing plane.

10. The method of claim 8, further comprising

calculating a start of downswing time as a latest time prior to said time of impact when said swing plane speed has magnitude zero via said processor;

and,

calculating a time to contact metric as a difference between said time of impact and said start of downswing time via said processor.

11. The method of claim 10, further comprising

calculating a total swing angle metric as a total angle traversed by said piece of equipment or bat in said swing plane between said start of downswing time and said time of impact via said processor;

and,

calculating an off plane angle metric as a total angle traversed by said piece of equipment or bat orthogonal to said swing plane between said start of downswing time and said time of impact via said processor.

12. The method of claim 8, further comprising

calculating a peak speed metric as a maximum magnitude of said swing plane speed during said swing via said processor;

calculating a halfway point in said swing via said processor; and

,

calculating a swing tempo metric as a ratio of said swing plane speed at said halfway point to said peak speed metric via said processor.

13. The method of claim 1, further comprising

comparing said swing of said piece of equipment or bat by said user to a database of swings to identify one or more players from said plurality of players that have swings that are similar to said swing of said piece of equipment or bat by said user via said processor.

14. The method of claim 1, further comprising

combining said one or more swing metrics into a swing feature vector via said processor;

and,

applying machine learning to a database of swings using said swing feature vector to classify each swing in said database of swings into a swing style that is based on said swing feature vector via said processor.

15. The method of claim 14, further comprising

determining the swing style for said swing of said piece of equipment or bat by said user based on said swing feature vector for said swing of said piece of equipment or bat by said user via said processor.

16. The method of claim 1, further comprising

when one or more sensor values of said sensor data are unavailable or are at a limit of a measurement range of said sensor during a time interval, extrapolating previous measurements or future measurements of said sensor to form an estimate of said one or more sensor values during said time interval via said processor.

17. The method of claim 16, wherein said extrapolating comprises generating a Bezier curve having control points based on said previous measurements or future measurements.

18. The method of claim 17, wherein said Bé

zier curve is a cubic Bé

zier curve having four control points;

a first control point of said four control points is a point matching said previous measurements at a starting point of said time interval;

a second control point of said four control points lies on a tangent to said previous measurements at said first control point;

a fourth control point of said four control points is a point matching said future measurements at an ending point of said time interval; and

,

a third control point of said four control points lies on a tangent to said future measurements at said fourth control point.

19. The method of claim 16, wherein said extrapolating comprises using a Kalman filter to form said estimate of said one or more sensor values during said time interval, wherein said Kalman filter comprises a kinematic model of said piece of equipment or bat.