IP Library Granted Patent US 10,603,566
Granted Patent B2
US 10,603,566 · App. 15/689,293 · Granted Mar 31, 2020

Method and system for posture correction adapted to a sporting equipment

Inventor: Sung-Han Wu (Hsin-chu, TW)
Assignee: PIXART IMAGING INC.
A63B69/3658A61B5/0024A61B5/1116A61B5/6895A63B69/0002A63B69/002G09B19/0038A61B5/1038A61B5/225A61B5/6806A61B5/6807A61B2562/0247A63B2069/0006A63B2069/367A63B2208/02A63B2225/50
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Quick Facts
Patent No.
US 10,603,566
App. No.
15/689,293
Granted
Mar 31, 2020
Kind
B2
Abstract

The disclosure is related to a method and a system for posture correction adapted to one sporting equipment. In the method, a force distribution history responsive to force or pressure data detected by one or more pressure sensors mounted on a surface of the sporting equipment over a period of time is firstly obtained. The pressure value is recorded in the force distribution history once it is detected that a pressure value exceeds a threshold, and the force distribution history is compared with a selected force pattern model so as to obtain a deviation distribution model. The deviation distribution model renders a correction data for the posture correction.

Claims (12)

1. A system for posture correction adapted to a sporting equipment, comprising:

one or more pressure sensors mounted on a surface of the sporting equipment that is utilized for a type of sports;

a computer including one or more processors, a memory and a communication unit that is used to establish a communication channel with the one or more pressure sensors; wherein the memory stores a series of instructions executed by the one or more processors for:

identifying a sets of pressure changes detected by the one or more pressure sensors mounted on the surface of the sporting equipment over a period of time, wherein the surface of the sporting equipment is divided into multiple detection sections and the sets of pressure changes of each detection section over time are recorded as a force distribution history;

comparing the sets of pressure changes with one of force pattern models provided by the system, and obtaining at least one deviation based on each comparison between the sets of pressure changes and the force pattern model so as to obtain a deviation distribution model formed by a series of deviations with respect to the type of sports, wherein the at least one deviation indicates a trend of consecutive pressure changes of one or more detection sections that does not match the force pattern model; and

outputting a correction data with respect to the type of sports according to the deviation distribution model, wherein the correction data is used to identify one or more detection sections where the pressure changes so as to show the at least one deviation that acts as the reference for posture correction.

2. The system as recited in claim 1 , wherein each pressure sensor is an assembly of a thin-film sensor mounted over the surface of the sporting equipment and a sensor circuitry.

3. The system as recited in claim 1 , further comprising a server that receives the force distribution history, the force pattern model, the deviation distribution model, and the correction data with respect to the sporting equipment for establishing a big-data database.

4. The system as recited in claim 1 , wherein a pressure value related to the pressure change is recorded in the force distribution history once it is detected that the pressure value exceeds a threshold in order to exclude disqualified data.

5. The system as recited in claim 4 , wherein the pressure value is a value obtained by one of multiple pressure sensors mounted on the surface of the sporting equipment, or the pressure value is a total value or an average value obtained by all or part of the pressure sensors.

6. The system as recited in claim 4 , wherein the force distribution history contains at least a first force distribution and the first force distribution is a first record in the force distribution history.

7. The system as recited in claim 6 , wherein the force pattern model corresponding to a closest initial force distribution is selected from a group of force pattern models while the first force distribution is compared with a plurality of initial force distributions in the force distribution history for obtaining the closest initial force distribution.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 29, 2017
From: WU, SUNG-HAN
To: PIXART IMAGING INC.
Reel/Frame 043434/0275 →
Continuity (1)
Related Publication 20190060735A1 · Feb 28, 2019