System for dynamic registration, evaluation, and correction of functional human behavior

• US 6,774,885 B1
• Filed: 09/22/1999
• Issued: 08/10/2004
• Est. Priority Date: 01/20/1999
• Status: Expired due to Term

• Current Assignee: Motek BV
• Original Assignee: Motek BV
• Inventors: Even-Zohar, Oshri
• Primary Examiner(s): Liang, Regina
• Assistant Examiner(s): Dinh, Duc Q.
• Application Number:
  US09/401,670
• Time in Patent Office: 1,784 Days
• Field of Search: 345/156, 345/158, 345/8, 482/4-5, 482/51, 482/66, 482/78, 382/155-159, 434/274
• US Class Current: 345/156
• CPC Class Codes: A61B 5/1036 Measuring load distribution, e.g. podologic studies
• CPC Class Codes: A61B 5/1124 Determining motor skills
• CPC Class Codes: A61B 5/1127 using markers
• CPC Class Codes: A61B 5/4023 Evaluating sense of balance
• CPC Class Codes: A61B 5/4528 Joints A61B5/4533, A61B5/4538 take precedence

Abstract

The present invention is a system combining motion capture technology and a motion platform with runtime interaction in a real-time feedback loop to provide a physical and virtual environment that has many applications, particularly in the rehabilitation area. The operator and user have runtime control of the system, and the data from the platform and the capture system are processed faster than real-time to generates new data sets which are then re-introduced into the system. A virtual reality environment is introduced and seamlessly interacts with the motion capture process and the motion platform operations to immerse the user in the dynamic physical and virtual environ.

Claims

1. A motion processing system with interactive real-time biofeedback, comprising;

a motion capture system producing motion capture data from a plurality of motion sensors;

a motion platform system and producing motion platform data;

a processing means coupled to said motion capture system and said motion platform system, processing said motion capture data and said motion platform data using forward dynamic simulations to predict moments of force and generate control commands in response thereof to provide a reactive physical environment and said real-time biofeedback.

2. The motion processing system according to claim 1, wherein said plurality of motion sensors is optical.

3. The motion processing system according to claim 1, wherein said plurality of motion sensors is magnetic.

4. The motion processing system according to claim 1, wherein said plurality of motion sensors is optical and magnetic.

5. The motion processing system according to claim 1, further comprising a display means for displaying a reactive virtual environment to a user, wherein said display means is connected to said processing means.

6. The motion processing system according to claim 1, further comprising a memory means for recording said motion capture data and said motion platform data.

7. A virtual and physical environment process to provide real-time biofeedback, comprising the steps;

placing a plurality of markers on a user, wherein said markers arc coupled to a motion capture system;

positioning said user on a motion platform;

generating a motion capture data set from said motion capture system;

generating a motion platform data set from said motion platform;

inputting control signals in runtime to said motion platform and said motion capture system;

processing said control signals, said motion capture data set and said motion platform data set on a host computer system using forward dynamic simulations to predict moments of force of said user; and

outputting a new data set to said motion capture system and said motion platform in response to said forward dynamic simulations to provide said real-time biofeedback with a reactive physical environment.

8. The virtual and physical environment process according to claim 7, further comprising the step of said motion capture system displaying a reactive virtual reality environment for said user.

9. The virtual and physical environment process according to claim 7, wherein said step of inputting control signals in runtime is performed by said user.

10. The virtual and physical environment process according to claim 7, wherein said step of inputting control signals in runtime is performed by an operator.

11. A simulation recording system, comprising:

a user outfitted with a plurality of motion sensors and stationed on a motion platform;

a processing means;

a motion capture system connected to said processing means, wherein motion capture data from said motion sensors is generated;

a motion platform system connected to said processing means, wherein motion platform data is generated;

an interface means coupled to said processing means with a runtime control input;

a memory means for recording said motion platform data and said motion capture data; and

a means for playing back said recorded motion platform data and said recorded motion capture data from said memory means and processing said motion capture data and said motion platform data using forward dynamic simulations to predict moments of force and generate control commands in response thereof to provide said real-time biofeedback with a reactive physical environment.

12. The simulation recording system according to claim 11, wherein said user operates said runtime control input.

13. The simulation recording system according to claim 11, further comprising a means for recording a reactive virtual reality environment in sequence with said recorded motion platform data and said recorded motion capture data.

14. A system for dynamic registration, evaluation, and correction of functional human behavior, comprising:

a motion platform system, wherein a user is positioned on said platform;

a motion capture system, wherein said user is outfitted with a plurality or markers to detect motion of said user;

a processing means connected to said motion platform system and said motion capture system, wherein motion platform data and motion capture data is processed by said processing means using forward dynamic simulations to predict moments of force, and wherein new control data is output to said motion platform system to produce a reactive physical environment;

a memory section for recording said motion capture data and said motion platform data; and

an interface means to said system with a runtime control input.

15. The system for dynamic registration, evaluation, and correction of functional human behavior, according to claim 14, further comprising a means for playing back said motion capture data and said motion platform data from said memory section.

16. The system for dynamic registration, evaluation, and correction of functional human behavior, according to claim 15, wherein said memory section contains a library of previously recorded data.

17. The system for dynamic registration, evaluation, and correction of functional human behavior, according to claim 15, wherein said playing back of said motion platform data from said memory section generates external forces on said user.

18. The system for dynamic registration, evaluation, and correction of functional human behavior, according to claim 14, further comprising a means for displaying a reactive virtual reality environment to said user.