Abstract: Systems and methods for tracking the position of one or more objects, such as components of a head-mounted display (HMD) system. One or more objects may carry a plurality of angle sensitive optical detectors. Each of the optical detectors may include an optical subsystem that is configured to vary at least one of phase or intensity of light imparted on the optical detector. The optical subsystem may include one or more of diffractive optical elements, lens arrays, intensity masks, phase masks, or the like. The optical detectors may include a photodetector that includes a plurality of optically active areas, such as a quadrant cell photodetector, an image sensor with an array of photodiodes, etc. Control circuitry may cause light sources to emit light, and may receive sensor data from the plurality of optical detectors. Control circuitry may process the sensor data to track a position of one or more objects.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure is directed to systems and methods of eye tracking for use in various applications, such as virtual reality or augmented reality applications that include head-mounted display devices. An eye tracking subsystem may be provided that includes a plurality of assemblies that each include a light source, such as an LED, a light detector, such as a silicon photodiode, and a polarizer that is configured to prevent light reflected via specular reflection from reaching the light detectors so that only scattered light is detected by the light detectors. Machine learning or other techniques may be used to track or otherwise determine a user's gaze direction, which may be used by one or more components of an HMD device to improve its functionality in various ways.

Abstract: This disclosure describes, in part, an electronic device for executing network applications. For instance, the electronic device may establish a connection with a network device. The electronic device may then receive input data from a control device. Using the connection, the electronic device may send the input data to a remote system, which uses the input data to update a state of an application. The electronic device then receives, using the connection and from the remote system, audio data and video data representing the state of the application. In some instances, the electronic device may further receive, using the connection and from the remote system, first timestamp data for outputting the audio data and second timestamp data for displaying the video data. The electronic device may then send the audio data to a control device and the video data to a display device.

Abstract: This disclosure describes, in part, techniques for controlling network applications. For instance, a remote system may send, over a network, data representing a state of an application to a display device, such as a television. The remote system may then receive, over the network, input data from a control device. The input data may represent one or more inputs received by the control device. Using the input data, the remote system may update the state of the application. The remote system may then send, to the display device, data representing the updated state of the application. In some instances, the remote system may further send, to the control device, audio data representing sound corresponding to the updated state of the application. The control device may synchronize outputting of the sound with the displaying the updated state of the application by the display device.

Abstract: This disclosure describes, in part, techniques for conserving power on an electronic device. For instance, at given time intervals, the electronic device may be sending input data to a network device and receiving audio data from the network device. The electronic device may then use one or more techniques to determine when to switch from operating in a first mode, where the electronic device sends and/or receives the data, to operating in a second mode, where the electronic device ceases sending and/or receiving the data. For example, the electronic device may make the determination based on an amount of data stored in a buffer, whether the electronic device receives data, using data received from the network device, and/or the like. Based on the determination, the electronic device may switch to the second mode in order to conserve power.

Abstract: Systems and methods for tracking the position of a head-mounted display (HMD) system component, such as a wearable HMD device or a hand-held controller. The HMD component may include a support structure that carries a plurality of angle sensitive detectors that are able to detect the angle of arrival of light emitted from a light source. A processor causes light sources to emit light according a specified pattern, and receive sensor data from the plurality of angle sensitive detectors. The processor may process the received sensor data using machine learning or other techniques to track a position of the head-mounted display component based on the processing of the received sensor data.

Abstract: This disclosure describes, in part, techniques for controlling network applications. For instance, a remote system may send, over a network, data representing a state of an application to a display device, such as a television. The remote system may then receive, over the network, input data from a control device. The input data may represent one or more inputs received by the control device. Using the input data, the remote system may update the state of the application. The remote system may then send, to the display device, data representing the updated state of the application. In some instances, the remote system may further send, to the control device, audio data representing sound corresponding to the updated state of the application. The control device may synchronize outputting of the sound with the displaying the updated state of the application by the display device.

Abstract: The present disclosure is directed to systems and methods of eye tracking for use in various applications, such as virtual reality or augmented reality applications that include head-mounted display devices. An eye tracking subsystem may be provided that includes a plurality of assemblies that each include a light source, such as an LED, a light detector, such as a silicon photodiode, and a polarizer that is configured to prevent light reflected via specular reflection from reaching the light detectors so that only scattered light is detected by the light detectors. Machine learning or other techniques may be used to track or otherwise determine a user's gaze direction, which may be used by one or more components of an HMD device to improve its functionality in various ways.

Abstract: The present disclosure is directed to systems and methods of eye tracking for use in various applications, such as virtual reality or augmented reality applications that include head-mounted display devices. An eye tracking subsystem may be provided that includes a plurality of assemblies that each include a light source, such as an LED, a light detector, such as a silicon photodiode, and a polarizer that is configured to prevent light reflected via specular reflection from reaching the light detectors so that only scattered light is detected by the light detectors. Machine learning or other techniques may be used to track or otherwise determine a user's gaze direction, which may be used by one or more components of an HMD device to improve its functionality in various ways.

Abstract: Systems and methods for tracking the position of a head-mounted display (HMD) system component, such as a wearable HMD device or a hand-held controller. The HMD component may include a support structure that carries a plurality of angle sensitive detectors that are able to detect the angle of arrival of light emitted from a light source. A processor causes light sources to emit light according a specified pattern, and receive sensor data from the plurality of angle sensitive detectors. The processor may process the received sensor data using machine learning or other techniques to track a position of the head-mounted display component based on the processing of the received sensor data.

Abstract: The present disclosure is directed to systems and methods of eye tracking for use in various applications, such as virtual reality or augmented reality applications that include head-mounted display devices. An eye tracking subsystem may be provided that includes a plurality of assemblies that each include a light source, such as an LED, a light detector, such as a silicon photodiode, and a polarizer that is configured to prevent light reflected via specular reflection from reaching the light detectors so that only scattered light is detected by the light detectors. Machine learning or other techniques may be used to track or otherwise determine a user's gaze direction, which may be used by one or more components of an HMD device to improve its functionality in various ways.

Abstract: This disclosure describes, in part, techniques for controlling network applications. For instance, a remote system may send, over a network, data representing a state of an application to a display device, such as a television. The remote system may then receive, over the network, input data from a control device. The input data may represent one or more inputs received by the control device. Using the input data, the remote system may update the state of the application. The remote system may then send, to the display device, data representing the updated state of the application. In some instances, the remote system may further send, to the control device, audio data representing sound corresponding to the updated state of the application. The control device may synchronize outputting of the sound with the displaying the updated state of the application by the display device.

Abstract: Systems and methods are provided for computing a longitudinal change in a structure of a brain. The method may include receiving a first image of the brain, wherein the first image is captured at a first time; receiving a second image of the brain, wherein the second image is captured at a second time; aligning the first and second images; generating at least one displacement from a location in the first image back to a corresponding location in the second image; and determining an optimized matching deformation between the first and second images based on an energy function that incorporates spatially varying estimates of a likelihood of tissue edge presence at the location in the first image, wherein the matching deformation is one of the generated displacements.