Ailive, Inc.

Curt Bererton

Xiaoyuan Tu

Wei Yen

John Funge

Ian Wright

Stuart Reynolds

Daniel Dobson

Charles Musick, Jr

William Robert Powers, Iii

Charles Musick

A movable game controller for controlling aspects of a computer controlled game display with apparatus for determining the linear and angular motion of that movable controller. The apparatus includes a plurality of self-contained inertial sensors for sensing the tri-axial linear and tri-axial angular motion of the moving controller. Each sensor is mounted at a fixed linear position and orientation with respect to the others. The linear and angular motion of the controller is computed from the correlated motion sensor readings of each of the plurality of self-contained inertial sensors.

Self-contained inertial navigation system for interactive control using movable controllers

A video gaming system includes a wireless controller that senses linear and angular acceleration to calculate paths of controller movement over a broad range of controller motion. The system also includes an electromagnetic alignment element, such as a set of LEDS. The controller includes an additional sensor to sense light from the LEDs over a relatively restricted range of controller motion, and use this sensed light to dynamically calibrate the controller when the controller passes through the restricted range of motion over which the sensor senses the light.

Methods and systems for dynamic calibration of movable game controllers

Techniques for tuning motion recognizers in motion detections are described. The motion recognizers are created or generated in advance by trained users. The motion recognizers are then loaded into a processing unit that receives motion signals from a handheld motion sensitive device being controlled by an end user. While motion recognition of the motion signals is being made, some or all of the motion recognizers are tuned by the motion signals to make the motion recognizers more adaptive to the user.

Example-based creation and tuning of motion recognizers for motion-controlled applications

Techniques for using motion recognizers are described. The motion recognizers are created or generated in advance by trained users. The motion recognizers are then loaded into a processing unit that receives motion signals from one or more motion sensitive devices being manipulated by one or more end users to control one or more objects in a virtual environment. Depending on implementation, the virtual environment may represent a remote scene or a video game, where objects in the virtual environment can be controlled by the users to perform desired actions or moves.

Method and system for tuning motion recognizers by a user using a set of motion signals

Generating motion recognizers from example motions, without substantial programming, without limitation to any fixed set of well-known gestures, and without limitation to motions that occur substantially in a plane, or are substantially predefined in scope. From example motions for each class of motion to be recognized, a system automatically generates motion recognizers using machine learning techniques. Those motion recognizers can be incorporated into an end-user application, with the effect that when a user of the application supplies a motion, those motion recognizers will recognize the motion as an example of one of the known classes of motion. Motion recognizers can be incorporated into an end-user application; tuned to improve recognition rates for subsequent motions to allow end-users to add new example motions.

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Burlingame, CA, United States of America

Curt Bererton