Abstract: An electronic device, method, and computer readable medium for augmented reality system is provided. The electronic device includes a light source that emits a light towards an eye of a user of the device, an adjustable lens having an adjustable focal point, a light sensor, configured to detect a reflected light that is reflected from the eye of the user, a processor, and a display screen. The processor determines a first distance corresponding to a focal point of the eye based on one or more positions of the reflected light, and adjusts the focal point of the lens unit based on the focal point of the eye. The display screen is configured to present an image of the object at a second distance based on the focal point of the lens unit to create a perception for the user that the image is placed at the first distance.

Abstract: Monitoring health status of a user may be performed by an apparatus that includes a sensor adapted to generate sensor data, a memory adapted to store a plurality of baseline biological markers for a user, wherein the plurality of baseline biological markers include respiratory rhythm, and a processor coupled to the memory and the sensor. The processor is adapted to, in response to detecting that the user is performing physical activity, determine a biological marker from the sensor data. The processor is adapted to compare the biological marker with the baseline biological marker. The processor is further adapted to, in response to detecting a change in the biological marker, provide a notification indicating a change in health status.

Abstract: In one embodiment, a method includes receiving multiple images from multiple cameras, where the multiple cameras include a first camera having a first orientation and a second camera having a second orientation, and the multiple images include a first image from the first camera and a second image from the second camera. The method also includes detecting multiple feature points within the first and second images. The method further includes determining one or more pairs of corresponding feature points located within a region of overlap between the first and second images, where the pairs of corresponding feature points include a respective one of the feature points from each of the first and second images. The method also includes spatially adjusting the first or second image based on a calculated offset between each pair of corresponding feature points.

Abstract: In one embodiment, a device includes a device body that includes a touch-sensitive display and a processor. The device also includes a band coupled to the device body and an optical sensor in or on the band. The optical sensor faces outward from the band and captures images. The processor communicates with the optical sensor to process captured images.

Abstract: In one embodiment, one or more computer-readable non-transitory storage media embody software that is operable when executed to determine, based on cardiac-activity data, a shift in sympathovagal balance (SVB) during the period of time; obtain an emotional-state characteristic the emotional-state characteristic being based on brain-wave activity data; and determine, based on the SVB shift and the emotional-state characteristic, an estimate of an emotional state of the user during the period of time.

Abstract: In one embodiment, an apparatus includes a body. At least a portion of the body includes one or more instances of magnetic material. The apparatus includes a moveable element coupled to the body and separated by a distance in a first dimension from the portion of the body. The moveable element includes one or more instances of magnetic material, and is configured to move in at least a second dimension perpendicular to the first dimension while the distance between the moveable element and the portion of the body remains fixed by the apparatus. At least one instance of the magnetic material in the moveable element repels or attracts at least one instance of the magnetic material in the body.

Abstract: In one embodiment, a method includes accessing multiple images representing a 360° view of a scene, each image representing a portion of the 360° scene and including a first overlap area and a second overlap area, the first overlap area corresponding to an overlap with a first adjacent image, and the second overlap area corresponding to an overlap with a second adjacent image. The method also includes, calculating, for each overlap area, a set of homographies based on one or more feature points in the overlap area. The method further includes creating a set of left images from the multiple images, the set of left images representing a first 360° view of the scene. The method also includes creating a set of right images from the multiple images, the set of right images representing a second 360° view of the scene.

Abstract: A system for determining and tracking camera pose includes a dynamic vision sensor (DVS) configured to generate a current DVS image, an inertial measurement unit (IMU) configured to generate inertial data, and a memory. The memory is configured to store a 3-dimensional (3D) map of a known 3D environment. The system may also include a processor coupled to the memory. The processor is configured to initiate operations including determining a current camera pose for the DVS based on the current DVS image, the inertial data, the 3D map, and a prior camera pose.

Abstract: A method of camera pose and plane estimation may include detecting a marker within a 3-dimensional (3D) environment by detecting, using a Dynamic Vision Sensor (DVS), a first plurality of light sources arranged in a known shape and blinking at a first frequency, wherein the known shape corresponds to the marker, determining an orientation and an identity of the marker based upon detecting, using the DVS, a second plurality of light sources corresponding to the marker and blinking at a second frequency different from the first frequency. A camera pose for the DVS may be determined based upon the known shape, the orientation, and the identity of the marker using the processor.

Abstract: A method for determining a stress level of a user based on a sympathovagal balance (SVB) value calculated based on a set of measurement data may include determining a heart-rate variability (HRV) characteristic as a ratio involving a number of autonomic nervous system (ANS) activity markers within a first portion of the set of measurement data and the number of ANS activity markers within a second portion of the set of measurement data, and then determining the stress level of the user based on the HRV characteristic. The first and second portions of the set of measurement data may be selected based on a user-specific baseline SVB value that divides a histogram representation of the set of measurement data into the first and second portions.

Abstract: In one embodiment, a device includes a device body that includes a touch-sensitive display and a processor. The device also includes a band coupled to the device body and an optical sensor in or on the band. The optical sensor faces outward from the band and captures images. The processor communicates with the optical sensor to process captured images.

Abstract: In one embodiment, a wearable computing device includes one or more sensors, one or more processors, and a memory coupled to the processors that includes instructions executable by the processors. When executing the instructions, the processors detect, by one or more of the sensors of the wearable computing device when worn on a limb of a user, a gesture-recognition-activation event associated with the wearable computing device; detect, by one or more sensors of the wearable computing device when worn on the limb of the user, a movement of the limb; determine a gesture made by the user based at least in part on the movement; and process the gesture as input to the computing wearable computing device.

Abstract: An apparatus for assessing heart failure can include an image sensor configured to capture image data of a patient, a sensor configured to capture sensor data for the patient, a memory configured to store the image data and the sensor data, and a processor coupled to the image sensor, the sensor, and the memory. The processor is configured to receive image data in response to detecting a biological condition from the sensor data, wherein the biological condition is indicative of psychophysiological health and cardiac health. The processor is further configured to detect a visual characteristic from the image data, wherein the visual characteristic is indicative of heart health, and, in response to detecting the visual characteristic, provide an indication that the patient is experiencing a worsening of heart failure.

Abstract: In one embodiment, a device includes a first display which includes one or more first-display pixels that are configured to operate in multiple modes. The multiple modes include a first mode in which the one or more first-display pixels modulate, absorb, or reflect visible light and a second mode in which the one or more first-display pixels are substantially transparent to visible light. The device also includes a second display disposed behind or in front of the first display, the second display configured to emit, modulate, absorb, or reflect visible light.

Abstract: In one embodiment, a computing system may access one or more frames of media content with each frame corresponding to at least part of an image. The computing system may automatically detect at least one object in at least one of the one or more frames. The computing system may automatically identify the at least one object. For each of the identified objects, the computing system may automatically determine an annotation corresponding to that object and each annotation may include one or more graphical elements. For each annotation, the computing system may automatically associate that annotation for display with its corresponding object.

Abstract: Evaluating health of a user can include providing an equilibrium envelope for a user, wherein the equilibrium envelope includes a range for each of a plurality of vital signs, and detecting, using a processor, a current metric. The current metric corresponds to an exit condition for the equilibrium envelope determined based upon sensor data or a re-entry condition for the equilibrium envelope determined based upon the sensor data. A health status for the user can be determined, using the processor, based upon a comparison of the current metric with a historical metric for the user.

Abstract: Processing PPG data using a device can include determining a quality estimate for a segment of PPG data and, in response to determining that the quality estimate exceeds a quality threshold, filtering the segment of the PPG data based upon an estimate of periodicity of the segment of the PPG data. A health marker can be determined for the segment of PPG data. The health marker can be validated based upon a prior determination of the health marker from PPG data. In response to the validation, the health marker can be output.

Abstract: A three dimensional image capture system includes: an image capture device configured to generate video data; a lens, coupled to the image capture device, configured to focus a left image and a right image; a microprism array, coupled to the lens, configured to horizontally deflect the left image and the right image; and an image processing unit, coupled to the image capture device, configured to calculate a depthmap from the left image and the right image in the video data, rendered by the microprism array.