Method and measuring device for motional performance

• US 20080136907A1
• Filed: 05/31/2007
• Published: 06/12/2008
• Est. Priority Date: 12/07/2006
• Status: Abandoned Application

• Current Assignee: Base Vision Oy
• Original Assignee: Base Vision Oy
• Inventors: Piirainen, Toni, Karikko, Seppo, Niskanen, Matti
• Application Number:
  US11/806,348
• Publication Number:
  US 20080136907A1
• Time in Patent Office: Days
• US Class Current: 348/143
• CPC Class Codes: A63B 2024/0009 Computerised real time comparison with previous movements or motion sequences of the user
• CPC Class Codes: A63B 2024/0012 Comparing movements or motion sequences with a registered reference
• CPC Class Codes: A63B 2024/0015 Comparing movements or motion sequences with computerised simulations of movements or motion sequences, e.g. for generating an ideal template as reference to be achieved by the user
• 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 2071/063 Spoken or verbal instructions
• CPC Class Codes: A63B 2102/32 Golf
• CPC Class Codes: A63B 2220/05 Image processing for measuring physical parameters
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 2220/807 Photo cameras
• CPC Class Codes: A63B 2225/20 with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2244/08 Jumping, vaulting
• CPC Class Codes: A63B 2244/081 High jumping
• CPC Class Codes: A63B 2244/085 Pole vaulting
• CPC Class Codes: A63B 2244/106 Karate
• CPC Class Codes: A63B 2244/14 Shot putting
• CPC Class Codes: A63B 2244/16 Spear or javelin throwing
• CPC Class Codes: A63B 2244/17 : Hammer throwing
• CPC Class Codes: A63B 2244/203 : Diving
• CPC Class Codes: A63B 24/0003 : Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• 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 69/00 : Training appliances or apparatus for special sports training of parachutists B64D23/00
• CPC Class Codes: A63B 69/36 : for golf
• CPC Class Codes: A63B 69/3658 : Means associated with the ball for indicating or measuring, e.g. speed, direction
• CPC Class Codes: A63B 71/06 : Indicating or scoring devices for games or players , or for other sports activities
• CPC Class Codes: G06F 18/2137 : based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
• CPC Class Codes: G06V 10/7715 : Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training

Abstract

A measuring device comprises cameras for imaging a person performing a movement from at least two different directions so as to provide image data. An image-processing unit measures the image data for values of predetermined parameters representing motion so as to provide measurement data. The image-processing unit presents the performance in relation to other performances.

Claims

1. A method for measuring a performance including motion, comprising:

imaging each person performing a movement from at least two different directions so as to provide image data on each performance,

measuring the image data for predetermined parameter values representing each movement for providing measurement data and

presenting at least one performance based on the measurement data in relation to the previously measured performances.

2. The method of claim 1, comprising placing a measuring point of each measurement data on a self-organizing map serving as a performance map and

displaying the measuring point in relation to at least one other predetermined neuron representing the performance on the self-organizing map.

3. The method of claim 1, comprising imaging a person performing a movement without markers facilitating the image analysis being attached to the person.

4. The method of claim 1, comprising transmitting measurement data associated with each performance to a databank for storing.

5. The method of claim 4, comprising generating a performance map in the databank of the measurement data stored in the databank and transmitting the performance map to each performance site so as to serve as reference.

6. The method of claim 5, comprising generating a neuron in the databank of the measurement data associated with each performance and generating of the neurons a self-organizing map that serves as a performance map.

7. The method of claim 4, comprising transmitting the measurement data associated with each performance from various measuring points to the databank utilizing the Internet.

8. The method of claim 1, comprising additionally presenting at least on one computer, which communicates with the image-processing unit over a data network, at least one performance based on the measurement data in relation to the previously measured performances.

9. The method of claim 8, comprising configuring the image-processing unit to be suitable for a specific performance including motion by means of a computer.

10. The method of claim 1, comprising presenting a verbal comment on the performance, which depends on the relation of the measuring point to at least one other performance.

11. A measuring device for measuring a performance including motion, the measuring device comprising on each performance site

at least two cameras for imaging each person performing a movement from at least two different directions so as to provide image data on the performance, and

a relating image-processing unit that is configured to measure from each image data the values of predetermined parameters representing motion so as to provide measurement data and to present at least one performance based on measurement data in relation to previously measured performances.

12. The measuring device of claim 11, wherein the image-processing unit is configured to place a measuring point of each measurement data onto a self-organizing map acting as a performance map, where the image-processing unit is configured to proportion different performances with one another and to present the measuring point in relation to at least one other predetermined neuron representing performance on the self-organizing map.

13. The measuring device of claim 11, wherein the measuring device is configured to capture an image of a person performing a movement without markers facilitating the image analysis being attached to the person.

14. The measuring device of claim 11, wherein the measuring device comprises a databank to which an image-processing unit of each performance site is configured to transmit measurement data associated with each performance for storing.

15. The measuring device of claim 13, wherein the databank is configured to generate a performance map from the measurement data stored in the databank and to transfer the performance map to each performance site to serve as reference.

16. The measuring device of claim 15, wherein the databank is configured to form a neuron from the measurement data associated with each performance and to generate of the neurons a self-organizing map which serves as the performance map.

17. The measuring device of claim 13, wherein each image-processing unit is configured to transmit the measurement data associated with each performance to the databank utilizing the Internet.

18. The measuring device of claim 11, wherein the measuring device comprises at least one computer, which is configured to communicate with the image-processing unit over a data network for presenting a desired performance including motion.

19. The measuring device of claim 18, wherein the image-processing unit may be configured suitable for a performance including motion by means of the computer.

20. The measuring device of claim 11, wherein the image-processing unit is configured to present a verbal comment on the performance, which depends on the relation of the measuring point to at least one other performance.