Abstract: Examples of mixed reality computing devices that utilize remote sensors and local sensors as input devices are disclosed. In one example, a mixed reality computing device comprises an image sensor, a remote input device, a processor, and storage comprising stored instructions. The stored instructions are executable by the processor to perform object motion tracking and environmental tracking based on output from the image sensor, and in response to detecting that the remote input device is in use, adjust a parameter of the motion tracking while maintaining the environmental tracking.

Abstract: Examples are disclosed that relate to dynamically controlling light sources on an optically trackable peripheral device. One disclosed example provides a near-eye display device comprising an image sensor, a communications subsystem, a logic subsystem, and a storage subsystem. The storage subsystem stores instructions executable by the logic subsystem to control a peripheral device comprising a plurality of light sources by receiving image data from the image sensor, identifying in the image data a constellation of light sources formed by a subset of light sources of the peripheral device, and based upon the constellation of light sources identified, send to the peripheral device via the communications subsystem constellation information related to the constellation of light sources identified.

Abstract: Examples of mixed reality computing devices that utilize remote sensors and local sensors as input devices are disclosed. In one example, a mixed reality computing device comprises an image sensor, a remote input device, a processor, and storage comprising stored instructions. The stored instructions are executable by the processor to perform object motion tracking and environmental tracking based on output from the image sensor, and in response to detecting that the remote input device is in use, adjust a parameter of the motion tracking while maintaining the environmental tracking.

Abstract: Examples of mixed reality computing devices that utilize remote sensors and local sensors as input devices are disclosed. In one example, a mixed reality computing device comprises an image sensor, a remote input device, a processor, and storage comprising stored instructions. The stored instructions are executable by the processor to perform object motion tracking and environmental tracking based on output from the image sensor, and in response to detecting that the remote input device is in use, adjust a parameter of the motion tracking while maintaining the environmental tracking.

Abstract: A system determines the transmission strength of the magnetic field signal. The magnetic field signal is transmitted from a first magnetic-sensor device to a second magnetic-sensor device. The system then determines a first projected distance between the first magnetic-sensor device and the second magnetic-sensor device. Based at least in part on the first projected distance, the system calculates an adjusted transmission strength for the magnetic field signal. The system then causes the first magnetic-sensor device to transmit an adjusted magnetic field signal. The adjusted magnetic field signal comprises the adjusted transmission strength. The system receives, from the second magnetic-field device, the adjusted magnetic field signal. Based at least in part upon the received adjusted magnetic field signal, the system, computes a first pose of the first magnetic-sensor device in relation to the second magnetic-sensor device.

Abstract: Examples are disclosed that relate to dynamically controlling light sources on an optically trackable peripheral device. One disclosed example provides a near-eye display device comprising an image sensor, a communications subsystem, a logic subsystem, and a storage subsystem. The storage subsystem stores instructions executable by the logic subsystem to control a peripheral device comprising a plurality of light sources by receiving image data from the image sensor, identifying in the image data a constellation of light sources formed by a subset of light sources of the peripheral device, and based upon the constellation of light sources identified, send to the peripheral device via the communications subsystem constellation information related to the constellation of light sources identified.

Abstract: Examples are disclosed that relate to dynamically controlling light sources on an optically trackable peripheral device. One disclosed example provides a near-eye display device comprising an image sensor, a communications subsystem, a logic subsystem, and a storage subsystem. The storage subsystem stores instructions executable by the logic subsystem to control a peripheral device comprising a plurality of light sources by receiving image data from the image sensor, identifying in the image data a constellation of light sources formed by a subset of light sources of the peripheral device, and based upon the constellation of light sources identified, send to the peripheral device via the communications subsystem constellation information related to the constellation of light sources identified.

Abstract: A mixed-reality system causes a magnetic transmission device to transmit a magnetic field signal. The mixed-reality system also causes a magnetic-field sensing device to determine a measurement of the magnetic field signal. The mixed-reality system then identifies, using one or more input devices, that a magnetically-interfering object is located within a same environment as both the magnetic transmission device and the magnetic-field sensing device. The mixed-reality system also determines one or more characteristics of magnetic field interference that the magnetically-interfering object is imparting on the magnetic transmission device or the magnetic-field sensing device. The mixed-reality system then computes an adjustment to a pose-estimation model based upon the one or more characteristics of magnetic field interference. The pose-estimation model is used to calculate a pose of at least one of the magnetic transmission device or the magnetic-field sensing device.

Abstract: Examples are disclosed that relate to dynamically controlling light sources on an optically trackable peripheral device. One disclosed example provides a near-eye display device comprising an image sensor, a communications subsystem, a logic subsystem, and a storage subsystem. The storage subsystem stores instructions executable by the logic subsystem to control a peripheral device comprising a plurality of light sources by receiving image data from the image sensor, identifying in the image data a constellation of light sources formed by a subset of light sources of the peripheral device, and based upon the constellation of light sources identified, send to the peripheral device via the communications subsystem constellation information related to the constellation of light sources identified.

Abstract: A system determines the transmission strength of the magnetic field signal. The magnetic field signal is transmitted from a first magnetic-sensor device to a second magnetic-sensor device. The system then determines a first projected distance between the first magnetic-sensor device and the second magnetic-sensor device. Based at least in part on the first projected distance, the system calculates an adjusted transmission strength for the magnetic field signal. The system then causes the first magnetic-sensor device to transmit an adjusted magnetic field signal. The adjusted magnetic field signal comprises the adjusted transmission strength. The system receives, from the second magnetic-field device, the adjusted magnetic field signal. Based at least in part upon the received adjusted magnetic field signal, the system, computes a first pose of the first magnetic-sensor device in relation to the second magnetic-sensor device.

Abstract: Examples are disclosed herein related to tracking poses of a head-mounted display device that interfaces with handheld peripheral objects. One disclosed example provides a handheld object configured for providing user input to a head-mounted device, the handheld object including a body, a plurality of visible light sources arranged on the body in an arrangement trackable by a vision system of the head-mounted device, and a controller configured to control a brightness of one or more visible light sources of the plurality of visible light sources.

Abstract: A system determines the transmission strength of the magnetic field signal. The magnetic field signal is transmitted from a first magnetic-sensor device to a second magnetic-sensor device. The system then determines a first projected distance between the first magnetic-sensor device and the second magnetic-sensor device. Based at least in part on the first projected distance, the system calculates an adjusted transmission strength for the magnetic field signal. The system then causes the first magnetic-sensor device to transmit an adjusted magnetic field signal. The adjusted magnetic field signal comprises the adjusted transmission strength. The system receives, from the second magnetic-field device, the adjusted magnetic field signal. Based at least in part upon the received adjusted magnetic field signal, the system, computes a first pose of the first magnetic-sensor device in relation to the second magnetic-sensor device.

Abstract: A mixed-reality system for augmenting spatial sensor device readings comprises a first magnetic sensor device configured to transmit a magnetic field signal at a reduced rate relative to a previous transmission rate. The system also comprises a second magnetic sensor device configured to determine a measurement of the magnetic field signal. The measurement indicates a pose estimation of the first magnetic sensor device. Additionally, the system comprises a third spatial input device configured to acquire pose data of the first spatial input device through means other than the magnetic field signal. Further, the system comprises one or more processors configured to compute a pose of the first magnetic sensor device by at least augmenting the measurement of the magnetic field signal with the pose data acquired by the other spatial input device.

Abstract: A computer system for dynamically switching modes within a magnetic sensor device communicates through a secondary communication channel with a first magnetic sensor device and a second magnetic sensor device. The first magnetic sensor device includes at least a magnetic signal receiving functionality. The computer system determines that the second magnetic sensor device includes magnetic signal transmitting functionality and magnetic signal receiving functionality. After determining that the second magnetic sensor device includes magnetic signal transmitting functionality, the computer system causes the second magnetic sensor device to begin transmitting a first magnetic field signal.

Abstract: Examples are disclosed herein related to tracking poses of a head-mounted display device that interfaces with handheld peripheral objects. One disclosed example provides a handheld object configured for providing user input to a head-mounted device, the handheld object including a body, a plurality of visible light sources arranged on the body in an arrangement trackable by a vision system of the head-mounted device, and a controller configured to control a brightness of one or more visible light sources of the plurality of visible light sources.

Abstract: A computer system for dynamically switching modes within a magnetic sensor device communicates through a secondary communication channel with a first magnetic sensor device and a second magnetic sensor device. The first magnetic sensor device includes at least a magnetic signal receiving functionality. The computer system determines that the second magnetic sensor device includes magnetic signal transmitting functionality and magnetic signal receiving functionality. After determining that the second magnetic sensor device includes magnetic signal transmitting functionality, the computer system causes the second magnetic sensor device to begin transmitting a first magnetic field signal.

Abstract: A mixed-reality system for augmenting spatial sensor device readings comprises a first magnetic sensor device configured to transmit a magnetic field signal at a reduced rate relative to a previous transmission rate. The system also comprises a second magnetic sensor device configured to determine a measurement of the magnetic field signal. The measurement indicates a pose estimation of the first magnetic sensor device. Additionally, the system comprises a third spatial input device configured to acquire pose data of the first spatial input device through means other than the magnetic field signal. Further, the system comprises one or more processors configured to compute a pose of the first magnetic sensor device by at least augmenting the measurement of the magnetic field signal with the pose data acquired by the other spatial input device.

Abstract: A mixed-reality system causes a magnetic transmission device to transmit a magnetic field signal. The mixed-reality system also causes a magnetic-field sensing device to determine a measurement of the magnetic field signal. The mixed-reality system then identifies, using one or more input devices, that a magnetically-interfering object is located within a same environment as both the magnetic transmission device and the magnetic-field sensing device. The mixed-reality system also determines one or more characteristics of magnetic field interference that the magnetically-interfering object is imparting on the magnetic transmission device or the magnetic-field sensing device. The mixed-reality system then computes an adjustment to a pose-estimation model based upon the one or more characteristics of magnetic field interference. The pose-estimation model is used to calculate a pose of at least one of the magnetic transmission device or the magnetic-field sensing device.

Abstract: A system determines the transmission strength of the magnetic field signal. The magnetic field signal is transmitted from a first magnetic-sensor device to a second magnetic-sensor device. The system then determines a first projected distance between the first magnetic-sensor device and the second magnetic-sensor device. Based at least in part on the first projected distance, the system calculates an adjusted transmission strength for the magnetic field signal. The system then causes the first magnetic-sensor device to transmit an adjusted magnetic field signal. The adjusted magnetic field signal comprises the adjusted transmission strength. The system receives, from the second magnetic-field device, the adjusted magnetic field signal. Based at least in part upon the received adjusted magnetic field signal, the system, computes a first pose of the first magnetic-sensor device in relation to the second magnetic-sensor device.

Abstract: Examples of mixed reality computing devices that utilize remote sensors and local sensors as input devices are disclosed. In one example, a mixed reality computing device comprises an image sensor, a remote input device, a processor, and storage comprising stored instructions. The stored instructions are executable by the processor to perform object motion tracking and environmental tracking based on output from the image sensor, and in response to detecting that the remote input device is in use, adjust a parameter of the motion tracking while maintaining the environmental tracking.