Abstract: In particular embodiments, a method for determining a heart-rate variability (HRV) measurement of a user may include receiving, from a sensor of an electronic device of the user, heart sensor data, determining a noise level of the heart sensor data, and then adjusting the HRV measurement by an amount calculated based on the determined noise level. The sensor data may include data on a photoplethysmograph (PPG) signal over a noise-calculation time period.

Abstract: A device can include a first display configured to produce an image and a second display. The second display can be non-emissive and transparent. The second display can also include a plurality of pixels that is electronically controllable to selectively diffuse light associated with the image produced by the first display.

Abstract: In one embodiment, an apparatus includes a wearable computing device including one or more processors and a memory. The memory is coupled to the processors and includes instructions executable by the processors. When executing the instructions, the processors analyze a task of an application; analyze one or more characteristics of the wearable computing device; determine to delegate the task based on the analysis of the task and the analysis of the characteristics; delegate the task to be processed by one or more computing devices separate from the wearable computing device; and receive from the computing devices results from processing the delegated task.

Abstract: Detecting chronotropic incompetence includes determining, using a processor, a baseline cardiac health measure for a user based upon an estimate of activity level for the user, validating, using the processor, the estimate of activity level for the user with a validation factor determined from sensor data and determining, using the processor, a cardiac health measure for the user from the sensor data. A signal indicating chronotropic incompetence for the user can be provided by the processor based upon a comparison of the cardiac health measure for the user with the baseline cardiac health measure.

Abstract: In particular embodiments, an apparatus includes a single electrode configured to passively receive a charge displacement and a change in characteristics of electromagnetic signals in an environment. The apparatus further includes a touch sensor, coupled to the single electrode, configured to detect a first input based on the charge displacement, and a second input based on the change in characteristics of electromagnetic signals in the environment.

Abstract: A method for monitoring a stress level of a user may include determining, based on biological measurements on one or more physiological markers received in a first sampling mode, the stress level of the user, and then dynamically switching to a second sampling mode when it is determined that one or more of the physiological markers are above a threshold level, the second sampling mode being different from the first sampling mode.

Abstract: In one embodiment, a display screen includes one or more pixels that are configured to operate in multiple modes. The multiple modes include a first mode in which the one or more pixels modulate, absorb, or reflect visible light and a second mode in which the one or more pixels are substantially transparent to visible light. When the one or more pixels are in the second mode a component behind the display screen is viewable through the one or more pixels.

Abstract: A system can include a projection layer. The projection layer can include a plurality of pixels. The plurality of pixels can be electronically controllable to vary appearance of at least one of the plurality of pixels in coordination with an image projected onto the projection layer.

Abstract: In one embodiment, an electronic device may include a light source configured to emit light that penetrates into a portion of a user's body, a plurality of light sensors configured to detect a pattern of diffusion of the emitted light, and a controller configured to detect a gesture made by the user based on the detected pattern of diffusion of the emitted light. The controller may be configured to control the light source and the plurality of light sensors to detect the gesture made by the user.

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, the system receives unlabeled data from one or more sensors. The one or more sensors are associated with a computing device of a user. The system clusters the unlabeled data into one or more unlabeled clusters. The system determines, based on one or more rules, at least one label for at least one unlabeled cluster of the one or more unlabeled clusters. The system expands, by a natural language processing algorithm, the at least one label for the at least one unlabeled cluster to produce one or more semantic terms associated with the at least one unlabeled cluster. The system generates, based on the one or more semantic terms, a personalized graph associated with one or more behavioral patterns of the user.

Abstract: In particular embodiments, an apparatus includes a single electrode configured to passively receive a charge displacement and a change in characteristics of electromagnetic signals in an environment. The apparatus further includes a touch sensor, coupled to the single electrode, configured to detect a first input based on the charge displacement, and a second input based on the change in characteristics of electromagnetic signals in the environment.

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 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.