METHOD AND SYSTEM FOR SIMULATIONS OF DYNAMIC MOTION AND POSITION

• US 20100029390A1
• Filed: 07/23/2009
• Published: 02/04/2010
• Est. Priority Date: 07/23/2008
• Status: Active Grant

• Current Assignee: Jerome Hubert Wei
• Original Assignee: Jerome Hubert Wei
• Inventors: WEI, JEROME HUBERT
• Granted Patent: US 9,539,513 B2
• Time in Patent Office: Days
• US Class Current: 463/43
• CPC Class Codes: A63F 13/00 Video games, i.e. games using an electronically generated display having two or more dimensions gaming systems which provide a financial reward G07F17/32
• CPC Class Codes: A63F 13/10 Control of the course of the game, e.g. start, progess, end
• CPC Class Codes: A63F 13/45 Controlling the progress of the video game
• CPC Class Codes: A63F 13/573 using trajectories of game objects, e.g. of a golf ball according to the point of impact
• CPC Class Codes: A63F 13/812 Ball games, e.g. soccer or baseball
• CPC Class Codes: A63F 2300/6027 using adaptive systems learning from user actions, e.g. for skill level adjustment
• CPC Class Codes: A63F 2300/64 for computing dynamical parameters of game objects, e.g. motion determination or computation of frictional forces for a virtual car
• CPC Class Codes: A63F 2300/8011 Ball

Abstract

Methods and systems for simulating dynamic motion and position. The methods and systems are particularly well-suited for use in sports simulation video games (e.g., a basketball simulation) and gaming systems. Using a simplified model of mass and structure and a physics engine, realistic movement can be mimicked by simulation/game entities. For each entity a sense of balance may be measured that affects the entities ability to achieve objectives. The entities are projected onto an n-dimensional space, the properties of which affect the probability that an entity will succeed with respect to a given objective. The methods and systems may be used to generate a visual representation of simulation, such as in a video game.

Claims

1. A method for simulating dynamic events in a video game, comprising:

receiving game entity instructions related to at least one game entity, said game entity instructions comprising instructions from artificial intelligence inputs;

calling game constants associated with said at least one game entity;

calculating a game entity balance measurement using a balance simulation model, wherein said instructions and said game constants are combined to generate a balance simulation model output; and

generating game entity events based on balance simulation model output.

2. The method of claim 1, wherein said balance simulation model comprises a movement model and a stability meter.

3. The method of claim 2, wherein said movement model contains information defining game entity movement capability.

4. The method of claim 2, wherein said stability meter measures a sense of balance for said at least one game entity.

5. The method of claim 1, wherein said game entity instructions are provided by human interface device inputs.

6. The method of claim 1, wherein said artificial intelligence inputs are derived from a threat assessor.

7. The method of claim 6, wherein said threat assessor creates values of game entity threat projected onto an n-dimensional space and outputs artificial intelligence game entity instructions based said values of said n-dimensional space.

8. The method of claim 7, wherein said artificial intelligence game entity instruction output is found by using a gradient search on said continuous n-dimensional space around said game entity for an optimal event instruction.

9. The method of claim 1, wherein generating game entity events comprises using an interaction handler.

10. The method of claim 1, wherein said game entity event is capable of being rendered for display through the use of a graphics engine.

11. The method of claim 1, wherein said game entity event is further defined as game entity dynamic movement and position.

12. A system for calculating game events, comprising:

an input module configured to receive game entity information;

a storage module configured to store constants related to at least one game entity;

a physics module connected to apply game physics rules to information received in said input module and said constants;

a balance simulation module connected to control stability and movement of game entities using values from said physics module;

an interaction handler module which combines input module outputs and balance simulation module outputs with game entity interaction rules to generate game entity events;

an artificial intelligence module which determines actions of system controlled entities by combining game entity event information from said modules with game entity threat information; and

a game entity event output module for outputting game event simulation values.

13. The system of claim 12, wherein said input module can receive said game entity information from said artificial intelligence module and/or from user input.

14. The system of claim 12, wherein balance simulation module comprises a stability meter module and a movement module.

15. The system of claim 14, wherein said movement module contains information defining game entity movement capability.

16. The system of claim 14, wherein said stability meter module measures a sense of balance for said at least one game entity.

17. The system of claim 12, wherein said artificial intelligence module comprises a threat assessor module which models said game entity threat information onto an n-dimensional space and outputs artificial intelligence game entity instructions based on information related to said n-dimensional space, said threat assessor module accepting inputs from said balance simulation module and said interaction handler.

18. The system of claim 17, wherein said threat assessor module determines said artificial intelligence game entity instruction output by performing a gradient search on said continuous n-dimensional space around a game entity for a preferred event instruction.

19. The system of claim 12, further comprising a graphics engine module connected to render said game event simulation values for display.

20. A method for simulating game entity balance, comprising:

calling constants related to at least one game entity;

receiving instructions related to at least one game entity;

applying said instructions and said constants to a movement model related to said at least one game entity;

applying said instructions and said constants to a stability meter related to said at least one game entity; and

combining outputs from said movement model and said stability meter to generate a game entity balance value.

21. The method of claim 20, wherein said movement model contains information defining game entity movement capability.

22. The method of claim 20, further comprising measuring a sense of balance for said at least one game entity with said stability meter.

23. The method of claim 22, wherein game entity sense of balance is calculated by tracking the motion of said movement model with a delay and convergence time according to a damped spring-mass system model.

24. The method of claim 20, wherein said game entity instructions are user provided inputs.

25. The method of claim 20, wherein said game entity instructions are inputs provided by artificial intelligence.

26. The method of claim 20, wherein said game entity balance value determines game entity interaction outcomes.

27. The method of claim 26, further comprising rendering said game entity interaction outcomes for visual display using a graphics engine.

28. The method of claim 20, wherein said game entity balance value determines game entity event changes.