Abstract: An electronic device may have a display and a camera. Control circuitry in the device can gather information on a user's point of gaze using a gaze tracking system and other sensors, can gather information on the real-world image such as information on content, motion, and other image attributes by analyzing the real-world image, can gather user vision information such as user acuity, contrast sensitivity, field of view, and geometrical distortions, can gather user input such as user preferences and user mode selection commands, and can gather other input. Based on the point-of-gaze information and/or other gathered information, the control circuitry can display the real-world image and supplemental information on the display. The supplemental information can include augmentations such as icons, text labels, and other computer-generated text and graphics overlaid on the real world image and can include enhanced image content such as magnified portions of the real-world image.

Abstract: An electronic device may have a display and a camera. Control circuitry in the device can gather information on a user's point of gaze using a gaze tracking system and other sensors, can gather information on the real-world image such as information on content, motion, and other image attributes by analyzing the real-world image, can gather user vision information such as user acuity, contrast sensitivity, field of view, and geometrical distortions, can gather user input such as user preferences and user mode selection commands, and can gather other input. Based on the point-of-gaze information and/or other gathered information, the control circuitry can display the real-world image and supplemental information on the display. The supplemental information can include augmentations such as icons, text labels, and other computer-generated text and graphics overlaid on the real world image and can include enhanced image content such as magnified portions of the real-world image.

Abstract: A fluorescence imaging control system may direct an imaging system to detect, over a period of time, first fluorescence emitted from a first fluorescing region illuminated with fluorescence excitation illumination. The first fluorescing region includes a first population of fluorophores that emit the first fluorescence. The fluorescence imaging control system may also direct the imaging system to detect, over the period of time, second fluorescence emitted from a second fluorescing region illuminated with the fluorescence excitation illumination. The second fluorescing region includes a second population of fluorophores that emit the second fluorescence. The first fluorescing region photobleaches at a first photobleaching rate and the second fluorescing region photobleaches at a second photobleaching rate that is different than the first photobleaching rate.

Abstract: Described herein are devices, systems, and methods for illumination of a target that provide control over the beam divergence, beam shape, and/or direction of the illumination beam. Such illumination beam control may be based on images of the target, and may serve to direct light at one or more regions of interest.

Abstract: Systems, methods, and devices are provided to reduce a likelihood of image burn-in on an electronic display. Such an electronic device may include image processing circuitry and an electronic display. The image processing circuitry may receive image data and analyze the image data for risk of image burn-in and, based at least in part on the analysis of the image data, reduce a risk of image burn-in at least in part by reducing a local maximum pixel luminance value in at least one of a plurality of regions of the image data over time or by reducing a dynamic range headroom of the image data. The electronic display may display the image data with a reduced risk of image burn-in on the pixels of the electronic display.

Abstract: An electronic device may be provided with a display. A content generator such as a camera may capture images in high dynamic range mode or standard dynamic range mode. The images may have associated image metadata such as face detection information, camera settings, color and luminance histograms, and image classification information. Control circuitry in the electronic device may determine tone mapping parameters for the captured images based on the image metadata. The tone mapping parameters for a given image may be stored with the image in the metadata file. When it is desired to display the image, the control circuitry may apply a tone mapping process to the image according to the stored tone mapping parameters. The algorithm that is used to determine tone mapping parameters based on image metadata may be based on user preference data gathered from a population of users.

Abstract: An electronic device may be provided with a display. Standard and high dynamic range content may be produced by content generators operating on control circuitry. Standard dynamic range content and high dynamic range content may be simultaneously displayed. Tone mapping parameters may be produced by a tone mapping engine for use in displaying the standard and high dynamic range content. The tone mapping parameters may be selected based on factors such as ambient light level, user brightness setting, content statistics, display characteristics, point of gaze information, power consumption information, and per-window information. Tone mapping parameters may be selected to accommodate simultaneous display of standard and high dynamic range content. Tone mapping parameters may be temporarily modified in response to a user's point of gaze switching between standard dynamic range content and high dynamic range content.

Abstract: An electronic device may have a display and a camera. Control circuitry in the device can gather information on a user's point of gaze using a gaze tracking system and other sensors, can gather information on the real-world image such as information on content, motion, and other image attributes by analyzing the real-world image, can gather user vision information such as user acuity, contrast sensitivity, field of view, and geometrical distortions, can gather user input such as user preferences and user mode selection commands, and can gather other input. Based on the point-of-gaze information and/or other gathered information, the control circuitry can display the real-world image and supplemental information on the display. The supplemental information can include augmentations such as icons, text labels, and other computer-generated text and graphics overlaid on the real world image and can include enhanced image content such as magnified portions of the real-world image.

Abstract: An electronic device may have a display and a camera. Control circuitry in the device can gather information on a user's point of gaze using a gaze tracking system and other sensors, can gather information on the real-world image such as information on content, motion, and other image attributes by analyzing the real-world image, can gather user vision information such as user acuity, contrast sensitivity, field of view, and geometrical distortions, can gather user input such as user preferences and user mode selection commands, and can gather other input. Based on the point-of-gaze information and/or other gathered information, the control circuitry can display the real-world image and supplemental information on the display. The supplemental information can include augmentations such as icons, text labels, and other computer-generated text and graphics overlaid on the real world image and can include enhanced image content such as magnified portions of the real-world image.

Abstract: A method performed by an electronic device is described. The method includes receiving a set of image frames. The set of image frames includes a face. The method also includes determining at least one facial motion of the face based on the set of image frames. The method further includes determining, based on the at least one facial motion, a facial rigidity confidence value indicating a degree of confidence that the face is rigid. The method additionally includes determining at least one facial micro-motion of the face based on the set of image frames. The method also includes determining a micro-motion matching confidence value indicating a degree of matching between the at least one facial micro-motion and a micro-motion profile. The method further includes authenticating a user based on the facial rigidity confidence value and the micro-motion matching confidence value.

Abstract: An electronic device may be provided with a display. A content generator such as a camera may capture images in high dynamic range mode or standard dynamic range mode. The images may have associated image metadata such as face detection information, camera settings, color and luminance histograms, and image classification information. Control circuitry in the electronic device may determine tone mapping parameters for the captured images based on the image metadata. The tone mapping parameters for a given image may be stored with the image in the metadata file. When it is desired to display the image, the control circuitry may apply a tone mapping process to the image according to the stored tone mapping parameters. The algorithm that is used to determine tone mapping parameters based on image metadata may be based on user preference data gathered from a population of users.

Abstract: An electronic device may have a display and a camera. Control circuitry in the device can gather information on a user's point of gaze using a gaze tracking system and other sensors, can gather information on the real-world image such as information on content, motion, and other image attributes by analyzing the real-world image, can gather user vision information such as user acuity, contrast sensitivity, field of view, and geometrical distortions, can gather user input such as user preferences and user mode selection commands, and can gather other input. Based on the point-of-gaze information and/or other gathered information, the control circuitry can display the real-world image and supplemental information on the display. The supplemental information can include augmentations such as icons, text labels, and other computer-generated text and graphics overlaid on the real world image and can include enhanced image content such as magnified portions of the real-world image.

Abstract: Methods, systems, computer-readable media, and apparatuses for estimating a user's heart rate using a PG signal are presented. In some implementations, the heart rate is estimated by computing a frequency-domain PG, identifying one or more features in the frequency-domain PG, selecting qualified features from the one or more features, and constructing one or more traces. In some implementations, an accelerometer signal can be used for motion cancellation to eliminate traces that are motion artifacts.

Abstract: Systems, methods, and devices are provided to reduce a likelihood of image burn-in on an electronic display. Such an electronic device may include image processing circuitry and an electronic display. The image processing circuitry may receive image data and analyze the image data for risk of image burn-in and, based at least in part on the analysis of the image data, reduce a risk of image burn-in at least in part by reducing a local maximum pixel luminance value in at least one of a plurality of regions of the image data over time or by reducing a dynamic range headroom of the image data. The electronic display may display the image data with a reduced risk of image burn-in on the pixels of the electronic display.

Abstract: A method performed by an electronic device is described. The method includes receiving a set of image frames. The set of image frames includes a face. The method also includes determining at least one facial motion of the face based on the set of image frames. The method further includes determining, based on the at least one facial motion, a facial rigidity confidence value indicating a degree of confidence that the face is rigid. The method additionally includes determining at least one facial micro-motion of the face based on the set of image frames. The method also includes determining a micro-motion matching confidence value indicating a degree of matching between the at least one facial micro-motion and a micro-motion profile. The method further includes authenticating a user based on the facial rigidity confidence value and the micro-motion matching confidence value.

Abstract: Various implementations include unmanned autonomous vehicles (UAVs) and methods for providing security for a UAV. In various implementations, a processor of the UAV may receive sensor data from a plurality of UAV sensors about an object in contact with the UAV. The processor may determine an authorization threshold based on the received sensor data. The processor may determine whether the object is authorized based on the received sensor data and the determined authorization threshold.

Abstract: Implementations include systems and methods for managing security for a mobile communication device. In implementations, a processor of the mobile communication device may determine environment context information. The processor may receive safety information from one or more peer devices. The processor may determine an authentication requirement for the mobile communication device based on the received safety information and the determined environment context information. The processor may deny access to a function of the mobile communication device in response to determining that the determined authentication requirement is not satisfied.

Abstract: Embodiments provide methods of protecting computing devices from malicious activity. A processor of a networking device may monitor network traffic flows of network computing devices and identify applications that are a source of the first network traffic flow. The processor may observe network traffic flows of identified source applications over time to determine normal network traffic flows of the source applications. The processor may then observe network traffic flows to detect when a source application is behaving anomalously based on associated network traffic flow characteristics deviating from normal network traffic flows of the source applications.

Abstract: Embodiments provide methods of managing network traffic flows. A processor of a network device may receive a first network traffic flow of a monitoring computing device and information identifying a source application of the first network traffic flow. The processor may determine a characteristic of the first network traffic flow associated with the application based at least in part on information in the first network traffic flow and the identified source application. The processor may receive a second network traffic flow from a non-monitoring computing device, and may associate the source application and the second network traffic flow if one or more characteristics of the second network traffic flow match or correlating to one or more characteristics of network traffic resulting from the source application.

Abstract: Embodiments provide methods of protecting computing devices from malicious activity. A processor of a network device may receive a first network traffic flow of a monitoring computing device and a malicious activity tag identifying a malicious behavior of the first network traffic flow. The processor may determine a characteristic of the first network traffic flow based at least in part on information in the first network traffic flow and the malicious activity tag. The processor may receive a second network traffic flow from a non-monitoring computing device, and may associate the malicious activity tag and the second network traffic flow based on a characteristic of the second network traffic flow based at least in part on information in the second network traffic flow and the characteristic of the first network traffic flow.