Valve Corporation

Jeffrey George Leinbaugh

Scott Douglas Nietfeld

Jeffrey Walter Mucha

Jeremy Slocum

Eric James Hope

Scott Richard Britt

Lawrence Yuan Yang

Philip Bryan

Carl Conlee

Claire Michelle Gottschalk

Keith Bradner

Joshua Mark Hudman

Jeffrey Peter Bellinghausen

Scott Dalton

Ian Campbell

Gordon Wayne Stoll

Alan Yates

Evan Fletcher

Cheang Tad Yoo

Charles N Lohr

Michael Baseflug

Carl Samuel Conlee, Iv

Walter Petersen

Eric Judson VanWyk

Systems and methods for tracking the position of one or more head-mounted display (HMD) system components of an HMD system. The HMD components may carry a plurality of angle sensitive detectors or other types of detectors. The HMD system may be operative to detect corrupted position tracking samples, allowing such samples to be ignored, thereby improving the position tracking process. Control circuitry causes light sources to emit light according a specified pattern, and receives sensor data from the plurality of detectors. Control circuitry may process the sensor data, for example using machine learning or other techniques, to track a position of one or more HMD components.

Position tracking systems and methods for head-mounted display systems

Techniques and devices for determining how to present the release of the virtual object based at least in part on received sensor data is described herein. For example, when the hardware and/or software determines that the virtual object is to be released, the hardware and/or software may calculate one or more of a velocity of the object (e.g., speed and direction), a position at which the virtual object is to be released, a trajectory of the virtual object from the position of release to the landing point of the virtual object, a landing location of the virtual object, and/or the like. The hardware and/or software may then present the virtual object being released according to this determined information.

Holding and releasing virtual objects

A method including determining a range of values for a proximity sensor, receiving proximity data from the proximity sensor, decaying a limit associated with a maximum value, decaying a limit associated with a minimum value, determining a range of values detected by the proximity sensor, and determining an updated scale factor for the proximity sensor.

Continuous controller calibration

A controller for an electronic system includes a tracking member fixed to a controller body. The controller body has a head that adjoins a handle at a neck region, and that includes at least one thumb-operated control. The controller includes a hand retainer that in a closed position is configured to physically bias the user's palm against an outer surface of the handle. The hand retainer includes a resilient member that biases the hand retainer towards an open position. The resilient member is attached to an anchor that is attached to the head by an adjustment mechanism that permits the resilient member to be moved towards or away from the user's purlicue. The tracking member includes transducers that are coupled to the electronic system by electromagnetic radiation. Proximity sensors, spatially distributed on the handle, are responsive to a proximity of the user's fingers to the outer surface of the handle.

Electronic controller with finger sensing and an adjustable hand retainer

Techniques and devices for holding and releasing virtual objects on a display based on input received from one or more handheld controllers are described herein. In some instances, a handheld controller includes one or more sensors, such as proximity sensors, force sensors (e.g., force resisting sensors, etc.), accelerometers, and/or other types of sensors configured to receive input from a hand of a user gripping the handheld controller. Hardware, software, and/or firmware on the controller and/or on a device coupled to the controller (e.g., a game console, a server, etc.) may receive data from these sensors and generate a representation of a corresponding gesture on a display, such as a monitor, a virtual-reality system, and/or the like.

Logic of a handheld controller can implement sensor fusion algorithms based on force data provided by a force sensing resistor (FSR) in combination with touch data or proximity data provided by a touch sensor or an array of proximity sensors, respectively. An example sensor fusion algorithm can be used to re-calibrate the FSR when an object contacts an associated control, as detected by the touch sensor. Another example sensor fusion algorithm can be used to ignore spurious inputs detected by the FSR when an object is in contact with an adjacent control. Another example sensor fusion algorithm can be used to detect a hand size of a hand grasping a handle of the controller, as detected by the array of proximity sensors, and to adjust the threshold force to register a FSR input event at the FSR according to the hand size.

Sensor fusion algorithms for a handheld controller that includes a force sensing resistor (FSR)

A controller for an electronic system includes a controller body having a handle portion, a tracking arc that is fixed to the controller body, and a hand retainer configured to physically bias a user's palm against an outside surface of the handle portion. A plurality of tracking sensors is disposed in the tracking arc, and are responsive to electromagnetic radiation emitted by the electronic system. An array of proximity sensors are spatially distributed around the outer surface of the handle portion, and are responsive to a proximity of the user's fingers to the outside surface of the handle portion.

Electronic controller with hand retainer and finger motion sensing

An electronic controller includes a controller body having a head that adjoins a handle at a neck region, and that includes at least one thumb-operated control. The controller includes a hand retainer that in a closed position is configured to physically bias the user's palm against an outer surface of the handle. The hand retainer includes a resilient member that biases the hand retainer towards an open position. An adjustment mechanism couples the resilient member to the head and permits the resilient member to be adjusted betweena plurality of discrete positions to adjust the resilient member towards or away from the user's purlicue. The adjustment mechanism may include an anchor that is movable peripherally about the head between the plurality of discrete positions and is pivotably attached to the resilient member with a two-part fastener, with a friction member interposed between the resilient member and the anchor.

A controller includes a body having a handle, and an array of proximity sensors spatially distributed on, in, beneath, or near the outer surface of the handle, responsive to a proximity of a user's fingers to that outer surface. A finger tracker converts the output of the array of proximity sensors to a set of joint angles corresponding to a plurality of the user's fingers. The controller may include a renderer for processing the joint angles to deform a hand mesh that is rendered for display. Values may be calculated to facilitate normalization of the output of the proximity sensor array and thereby generate a set of normalized finger detection data. This data may be processed through curl logic to produce a linear estimate of gross finger curl with respect to the user and thereby generate a set of estimates for a plurality of finger joint angles for the user.

Electronic controller with finger motion sensing

Logic of a handheld controller can implement sensor fusion algorithms based on force data provided by a force sensing resistor (FSR) in combination with touch sensor data provided by a touch sensor. An example sensor fusion algorithm can be used to pause calibration adjustments for the touch sensor&#x2014;at least with respect to a high-level value that corresponds to a touch of a control&#x2014;in response to a user pressing upon the control of the handheld controller with an above-threshold amount of force, which may be detected by a FSR associated with the control. For instance, calibration adjustments with respect to the high-level value can be paused in response to FSR values crossing a threshold value from below the threshold value to above the threshold value, and the calibration adjustments can be resumed in response to the FSR values crossing the threshold value in the opposite direction.

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Kirkland, WA, United States of America

Jeffrey George Leinbaugh