Abstract: A gaze detection assembly comprises a plurality of infrared (IR) light emitters configured to emit IR light toward a user eye and an IR camera configured to sequentially capture IR images of the user eye. A controller is configured to, during a reference frame, control the plurality of IR light emitters to emit IR light toward the user eye with a reference intensity distribution. During the reference frame, an IR image is captured depicting a first glint distribution on the user eye. Based at least in part on the first glint distribution, during a subsequent frame, the plurality of IR light emitters are controlled to emit IR light toward the user eye with a subsequent intensity distribution, different than the reference intensity distribution. During the subsequent frame, a second IR image is captured depicting a second glint distribution on the user eye.

Abstract: A camera system comprises a lamp configured to emit light, a lamp driver configured to energize the lamp, an image-sensor array configured to acquire image data, a lenslet array, and an image engine. The lenslet array comprises a plurality of lenslets arranged laterally over the image-sensor array and configured to focus the light, reflected from a subject, onto the image-sensor array. The image engine is configured to (a) receive the image data from the image-sensor array, (b) resolve the image data into a plurality of component images, and (c) return an enhanced image based on the plurality of component images, the enhanced image having enhanced spatial resolution relative to any of the component images.

Abstract: A camera system comprises a lamp configured to emit light, a lamp driver configured to energize the lamp, an image-sensor array configured to acquire image data, a lenslet array, and an image engine. The lenslet array comprises a plurality of lenslets arranged laterally over the image-sensor array and configured to focus the light, reflected from a subject, onto the image-sensor array. The image engine is configured to (a) receive the image data from the image-sensor array, (b) resolve the image data into a plurality of component images, and (c) return an enhanced image based on the plurality of component images, the enhanced image having enhanced spatial resolution relative to any of the component images.

Abstract: Eye and hand tracking systems in head-mounted display (HMD) devices are arranged with lensless camera systems using optical masks as encoding elements that apply convolutions to optical images of body parts (e.g., eyes or hands) of HMD device users. The convolved body images are scrambled or coded representations that are captured by a sensor in the system, but are not human-recognizable. A machine learning system such as a neural network is configured to extract body features directly from the coded representation without performance of deconvolutions conventionally utilized to reconstruct the original body images in human-recognizable form. The extracted body features are utilized by the respective eye or hand tracking systems to output relevant tracking data for the user's eyes or hands which may be utilized by the HMD device to support various applications and user experiences. The lensless camera and machine learning system are jointly optimizable on an end-to-end basis.

Abstract: Eye and hand tracking systems in head-mounted display (HMD) devices are arranged with lensless camera systems using optical masks as encoding elements that apply convolutions to optical images of body parts (e.g., eyes or hands) of HMD device users. The convolved body images are scrambled or coded representations that are captured by a sensor in the system, but are not human-recognizable. A machine learning system such as a neural network is configured to extract body features directly from the coded representation without performance of deconvolutions conventionally utilized to reconstruct the original body images in human-recognizable form. The extracted body features are utilized by the respective eye or hand tracking systems to output relevant tracking data for the user's eyes or hands which may be utilized by the HMD device to support various applications and user experiences. The lensless camera and machine learning system are jointly optimizable on an end-to-end basis.

Abstract: Examples are disclosed herein that relate to eye imaging on a near-eye system using an eye-imaging camera that includes an array of lenses. One example provides a near-eye system, comprising an eye-imaging camera comprising an image sensor, and an array of lenses, each lens of the array of lenses configured to focus an image of an eye onto a different area of the image sensor than each other lens of the array of lenses.

Abstract: A gaze detection assembly comprises a plurality of infrared (IR) light emitters configured to emit IR light toward a user eye and an IR camera configured to sequentially capture IR images of the user eye. A controller is configured to, during a reference frame, control the plurality of IR light emitters to emit IR light toward the user eye with a reference intensity distribution. During the reference frame, an IR image is captured depicting a first glint distribution on the user eye. Based at least in part on the first glint distribution, during a subsequent frame, the plurality of IR light emitters are controlled to emit IR light toward the user eye with a subsequent intensity distribution, different than the reference intensity distribution. During the subsequent frame, a second IR image is captured depicting a second glint distribution on the user eye.

Abstract: A novel technique for transferring power, measurement signals, and communication signals between two electrical devices over a single wire pair is presented. A host device supplies power to a sensor device over the wire pair. The sensor device obtains A/C signals by modulating the current component of the power signal on the wire pair. The host device de-modulates the current component of the power signal on the wire pair to recover the A/C measurement signals. The sensor device generates a serial bit stream containing sensor communication signals, and modulates it with either the voltage-or current-component of the power signal present on the wire pair. The host device appropriately de-modulates the power signal to recover the serial bit stream containing the sensor communication signals.

Abstract: Disclosed is a novel technique for transferring power, measurement signals, and communication signals between two electrical devices over a single wire pair. A host device supplies power to a sensor device over the wire pair. The sensor device obtains a/c measurement signals. The sensor device transmits the a/c measurement signals by modulating the current component of the power signal on the wire pair. The host device de-modulates the current component of the power signal on the wire pair to recover the a/c measurement signals. The sensor device generates a serial bit stream containing sensor communication signals, and modulates it with either the voltage- or current-component of the power signal present on the wire pair. The host device appropriately de-modulates the power signal to recover the serial bit stream containing the sensor communication signals. The host device may also generate a serial bit stream containing host communication signals.