IP Library Granted Patent US 10,569,134
Granted Patent B2
US 10,569,134 · App. 15/008,107 · Granted Feb 25, 2020

Method and system for athletic motion analysis and instruction

Inventors: Brian Vermilyea (Milford, NH); Erik Herter (Milford, NH); Steve Diamond (Milford, NH); Anthony Morgan (Milford, NH); Michael D Bentley (Carlsbad, CA)
Assignee: K-Motion Interactive, Inc.
A63B24/0006A43B5/001A61B5/1122A61B5/1124A61B5/1128A61B5/6806A61B5/6831A63B24/0003A63B24/0021A63B69/00A63B69/36A63B69/3608A63B69/3632A63B69/3658A63F13/211A63F13/212A63F13/213A63F13/42A63F13/428A63F13/812G06F19/3481G09B19/0038A61B5/4528A61B2503/10A61B2562/0219A63B69/0002A63B69/004A63B69/0028A63B69/16A63B69/38A63B2023/0411A63B2024/0012A63B2024/0015A63B2024/0031A63B2071/063A63B2071/0625A63B2071/0627A63B2071/0636A63B2071/0647A63B2102/32A63B2209/10A63B2220/10A63B2220/16A63B2220/30A63B2220/40A63B2220/803A63B2220/806A63B2220/807A63B2220/836A63B2225/02A63B2225/20A63B2225/50A63F13/46A63F2300/105A63F2300/1093A63F2300/61A63F2300/8011
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Quick Facts
Patent No.
US 10,569,134
App. No.
15/008,107
Granted
Feb 25, 2020
Kind
B2
Abstract

A system and method for analyzing and improving the performance of a body motion of an animal or human subject requires instrumenting a subject with inertial sensors, monitoring a body motion of interest, converting sensor data into motion data and animation, comparing the motion data with existing data for motion related performance parameters, providing a real-time, information rich, animation and data display of the results in color coded displays; and based on the results prescribing a training regime with exercises selected from a library of standardized exercises using standardized tools and training aids.

Claims (9)

1. A method comprising:

receiving, by a processor of a motion monitoring system, sensor data containing one or more motion parameters associated with an activity category from a computer of a participant, wherein the sensor data is generated from one or more body mounted sensors configured to communicate the sensor data to the computer;

calculating, by the processor, one or more diagnostic parameters based on the one or more motion parameters contained in the sensor data received from the computer;

determining, by the processor, a diagnostic score for the activity category based upon the one or more diagnostic parameters;

automatically generating, by the processor, a regime file comprising data from one or more exercise records selected from an exercise database based upon the diagnostic score, wherein each of the exercise records comprises at least one exercise for the participant to perform in order to improve the diagnostic score, the at least one exercise being identified by a data model, the data in the regime file being used by a software application executed by the computer;

transmitting, by the processor, the regime file to the computer to be executed by the software application, wherein the regime file instructs the computer to present the participant with the one or more exercises to be performed and further instructs the computer to capture from the one or more sensors the sensor data associated with the one or more exercises to be performed;

receiving, by the processor, from the computer, the sensor data for the one or more exercises as performed; and

generating, by the processor, a user interface displaying a representation corresponding to motion indicated by the sensor data received from the computer.

2. The method of claim 1 , wherein the processor comprises a laptop computer.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 6, 2022
From: K-MOTION INTERACTIVE INC.
To: PG TECH, LLC
Reel/Frame 060998/0756 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 29, 2019
From: VERMILYEA, BRIAN; HERTER, ERIK; DIAMOND, STEVE; MORGAN, ANTHONY; BENTLEY, MICHAEL D.
To: K-MOTION INTERACTIVE, INC.
Reel/Frame 050855/0071 →
Continuity (5)
Continuation In Part 14143157 · Dec 30, 2013
Continuation 11834733 · Aug 7, 2007
Continuation 11340088 · Jan 26, 2006
Provisional Application 60647751 · Jan 26, 2005
Related Publication 20160199693A1 · Jul 14, 2016
Cited By (2)
US 12,194,340 US 12,434,099