Game console and gaming object with motion prediction modeling and methods for use therewith

Patent metadata

Field	Value
Publication number	US-9523767-B2
Application number	US-13133108-A
Country	US
Kind code	B2
Filing date	Jun 2, 2008
Priority date	Jun 22, 2007
Publication date	Dec 20, 2016
Grant date	Dec 20, 2016

Abstract

A game console includes a receiver that receives motion data in response to motion of a gaming object. A trajectory generation module generates trajectory data based on the motion data and based on a motion prediction model. A processor executes a gaming application based on the trajectory data to generate display data.

First claim

What is claimed is:

1. A game console comprising:
a receiver that receives motion data in response to motion of a gaming object;
trajectory generation circuitry, coupled to the receiver, configured to generate trajectory data based on the motion data and based on a motion prediction model that determines a type of motion based on a game selection signal that indicates selection of one of a plurality of games, that determines a family of trajectories corresponding to the type of motion, and wherein the motion prediction model selects one trajectory of the family of trajectories that fits the motion data; and
a processor, coupled to the trajectory generation circuitry, configured to execute a gaming application based on the game selection signal and the trajectory data to generate display data.

2. The game console of claim 1 wherein the motion prediction model represents a biomechanical trajectory of a user of the gaming object in accordance with a game.

3. The game console of claim 2 further comprising:
model generation circuitry, coupled to the trajectory generation circuitry, configured to generate the motion prediction model based on a game selection signal that indicates the game.

4. The game console of claim 1 wherein the trajectory generation circuitry generates the trajectory data by interpolating the motion data based on the motion prediction model.

5. The game console of claim 1 wherein the motion data include a plurality of model parameters of the motion prediction model.

6. The game console of claim 5 wherein the motion prediction model includes a polynomial trajectory and the plurality of model parameters include a plurality of polynomial coefficients.

7. The game console of claim 1 wherein the motion data include differential motion data and wherein the trajectory generation circuitry generates a current position based on a prior position and further based on the differential motion data.

8. A gaming object comprising:
a motion sensor for generating motion signals in response to motion of the gaming object;
motion data generation circuitry, configured to generate motion data based on the motion signal and based on a motion prediction model that determines a type of motion based on a game selection signal that indicates selection of one of a plurality of games, that determines a family of trajectories corresponding to the type of motion, and wherein the motion prediction model selects one trajectory of the family of trajectories that fits the motion data; and
a transmitter, coupled to the motion data generation circuitry, configured to send the motion data to a game device.

9. The gaming object of claim 8 wherein the motion sensor includes at least one of:
an accelerometer, an RFID tag and an on-chip gyrator.

10. The gaming object of claim 8 wherein the motion prediction model represents a biomechanical trajectory of a user in accordance with a game.

11. The gaming object of claim 8 further comprising:
model generation circuitry, coupled to the motion data generation circuitry, configured to select a data rate for the motion data based on the game selection signal.

12. The gaming object of claim 8 wherein the motion data include a plurality of model parameters of the motion prediction model.

13. The gaming object of claim 12 wherein the motion prediction model includes a polynomial trajectory and the plurality of model parameters include a plurality of polynomial coefficients.

14. The gaming object of claim 8 wherein the motion data include differential motion data.

15. A method comprising:
receiving, via a receiver, motion data in response to motion of a gaming object;
generating, via trajectory generation circuitry, trajectory data based on the motion data and based on a motion prediction model that determines a type of motion based on a game selection signal that indicates selection of one of a plurality of games, that determines a family of trajectories that correspond to that type of motion corresponding to the type of motion, and wherein the motion prediction model selects one trajectory of the family of trajectories that fits the motion data; and
executing, via a processor, a gaming application based on the game selection signal and the trajectory data to generate display data.

16. The method of claim 15 wherein the motion prediction model represents a biomechanical trajectory of a user of the gaming object in accordance with a game.

17. The method of claim 15 wherein the trajectory data is generated by interpolating the motion data based on the motion prediction model.

18. The method of claim 15 wherein the motion data includes a plurality of model parameters of the motion prediction model.

19. The method of claim 18 wherein the motion prediction model includes a polynomial trajectory and the plurality of model parameters include a plurality of polynomial coefficients.

20. The method of claim 15 wherein the motion data include differential motion data and wherein the trajectory data includes a current position that is generated based on a prior position and further based on the differential motion data.

21. A method comprising:
generating motion signals, via a motion sensor, in response to motion of a gaming object;
generating, via motion data generation circuitry, motion data based on the motion signals and based on a motion prediction model that determines a type of motion based on a game selection signal that indicates selection of one of a plurality of games, that determines a family of trajectories that correspond to that type of motion corresponding to the type of motion, and wherein the motion prediction model selects one trajectory of the family of trajectories that fits the motion data; and
sending the motion data to a game device via a transmitter.

22. The method of claim 21 wherein the motion prediction model represents a biomechanical trajectory of a user in accordance with a game.

23. The method of claim 21 further comprising:
selecting a data rate for the motion data based on the game selection signal.

24. The method of claim 21 wherein the motion data include a plurality of model parameters of the motion prediction model.

25. The method of claim 24 wherein the motion prediction model includes a polynomial trajectory and the plurality of model parameters include a plurality of polynomial coefficients.

26. The method of claim 21 wherein the motion data include differential motion data.

Assignees

• Rofougaran Ahmadreza (Reza)
• Rofougaran Maryam
• Seshadri Nambirajan
• Ibrahim Brima B
• Walley John
• Karaoguz Jeyhan
• Broadcom Corp

Inventors

• Rofougaran Ahmadreza (Reza)
• Rofougaran Maryam
• Seshadri Nambirajan
• Ibrahim Brima B
• Walley John
• Karaoguz Jeyhan

Classifications

• G01S13/723

  by using numerical data · CPC title

• A63F13/57

  Simulating properties, behaviour or motion of objects in the game world, e.g. computing tyre load in a car race game (A63F13/56 takes precedence) · CPC title

• G01S13/003

  Bistatic radar systems; Multistatic radar systems · CPC title

• A63F13/211

  using inertial sensors, e.g. accelerometers or gyroscopes · CPC title

• G01S13/426

  Scanning radar, e.g. 3D radar (G01S13/66 takes precedence) · CPC title