IP Library Granted Patent US 9,943,760
Granted Patent B2
US 9,943,760 · App. 15/346,254 · Granted Apr 17, 2018

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

Inventors: Ahmadreza (Reza) Rofougaran (Newport Coast, CA); Maryam Rofougaran (Rancho Palos Verdes, CA); Nambirajan Seshadri (Irvine, CA); Brima B. Ibrahim (Laguna Hills, CA); John Walley (Ladera Ranch, CA); Jeyhan Karaoguz (Irvine, CA)
Assignee: AVAGO TECHNOLOGIES GENERAL IP (SINGAPORE) PTE. LTD
A63F13/573A63F13/211A63F13/212A63F13/213A63F13/235A63F2300/1012
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Quick Facts
Patent No.
US 9,943,760
App. No.
15/346,254
Granted
Apr 17, 2018
Kind
B2
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.

Claims (33)

1. A game device comprising:

trajectory generation circuitry configured to generate trajectory data based on motion data of a gaming object 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, wherein the motion prediction model further 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 device of claim 1 wherein the motion prediction model represents a biomechanical trajectory of a user of the gaming device in accordance with a game.

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

6. The game device 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 device 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 mobile communication device comprising:

a motion sensor configured to generate motion signals in response to motion of the mobile communication device;

motion data generation circuitry configured to generate motion data based on the motion signal of a gaming object 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, wherein the motion prediction model further 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, that sends the motion data to a game device.

9. The mobile communication device of claim 8 wherein the motion sensor includes at least one of:

an accelerometer, an RFID tag and an on-chip gyrator.

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

11. The mobile communication device of claim 8 further comprising a wireless transceiver for communicating voice signals and data with a wireless network.

12. The mobile communication device of claim 8 further comprising:

a model generation module, coupled to the motion data generation module, that selects a data rate for the motion data based on the game selection signal.

13. The mobile communication device of claim 8 wherein the motion data include a plurality of model parameters of the motion prediction model.

14. The mobile communication device of claim 13 wherein the motion prediction model includes a polynomial trajectory and the plurality of model parameters include a plurality of polynomial coefficients.

15. The mobile communication device of claim 8 wherein the motion data include differential motion data.

16. A method comprising:

generating motion data in response to motion of a gaming object;

generating, via trajectory generation circuitry, trajectory data based on the motion data of the gaming object 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, wherein the motion prediction model further 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.

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

18. The method of claim 16 wherein the trajectory data is generated by interpolating the motion data based on the motion prediction model.

19. The method of claim 16 wherein the motion data includes a plurality of model parameters of the motion prediction model.

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

Assignments (4)
CORRECTIVE ASSIGNMENT TO CORRECT THE EXECUTION DATE PREVIOUSLY RECORDED AT REEL: 047422 FRAME: 0464. ASSIGNOR(S) HEREBY CONFIRMS THE MERGER. Recorded Mar 6, 2019
From: AVAGO TECHNOLOGIES GENERAL IP (SINGAPORE) PTE. LTD.
To: AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE. LIMITED
Reel/Frame 048883/0702 →
MERGER Recorded Oct 5, 2018
From: AVAGO TECHNOLOGIES GENERAL IP (SINGAPORE) PTE. LTD.
To: AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE. LIMITED
Reel/Frame 047422/0464 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 1, 2017
From: BROADCOM CORPORATION
To: AVAGO TECHNOLOGIES GENERAL IP (SINGAPORE) PTE. LTD.
Reel/Frame 041706/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 30, 2016
From: ROFOUGARAN, AHMADREZA (REZA); ROFOUGARAN, MARYAM; SESHADRI, NAMBIRAJAN; IBRAHIM, BRIMA B.; WALLEY, JOHN; KARAOGUZ, JEYHAN
To: BROADCOM CORPORATION
Reel/Frame 040462/0762 →
Continuity (3)
Continuation 12131331 · Jun 2, 2008
Provisional Application 60936724 · Jun 22, 2007
Related Publication 20170232345A1 · Aug 17, 2017