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: This invention may be implemented as a wearable apparatus comprised of a camera, a projector, a mirror, a microphone and a digital computer. The camera captures visual data. This data is analyzed by the digital computer to recognize objects and hand gestures, using color tracking and edge detection techniques. The projector is used, along with a mirror to adjust the direction of the projected light, to project images on objects in the user's environment. For example, the images may be projected on surfaces such as a wall, table, or piece of paper. The projected images may contain information relevant to the object being augmented. Indeed, the information may include current data obtained from the Internet. Also, the projected images may comprise graphical interfaces, with which a user may interact by making hand gestures.

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, a wearable apparatus includes a sensor, a processor coupled to the sensor, and a memory coupled to the processor that includes instructions executable by the processor. When executing the instructions, the processor detects by the sensor movement of at least a portion of an arm of a user; detects, based at least in part on the movement, a gesture made by the user; and processes the gesture as input to the wearable apparatus.

Abstract: In one embodiment, a wearable apparatus includes a sensor, a processor coupled to the sensor, and a memory coupled to the processor that includes instructions executable by the processor. When executing the instructions, the processor detects by the sensor movement of at least a portion of an arm of a user; detects, based at least in part on the movement, a gesture made by the user; and processes the gesture as input to the wearable apparatus.

Abstract: In one embodiment, an apparatus includes a processor and multiple pairs of cameras, where each camera of a first pair of cameras is separated from each other by one camera of a second pair of cameras. Each camera of the first pair of cameras has a first orientation, and each camera of the second pair of cameras has a second orientation that is different from the first orientation.

Abstract: In one embodiment, a method includes receiving, from a client device, a request corresponding to a particular view of a three-dimensional video comprising multiple views. The method also includes accessing a data stream corresponding to the video. The method further includes selecting, based on the request, one or more portions of the accessed data stream, at least one of the selected portions corresponding to the particular view. The method also includes transmitting the selected portion of the accessed data stream to the client device.

Abstract: In one embodiment, a method includes presenting to a user, on a display of a head-worn client computing device, a three-dimensional video including images of a real-life scene that is remote from the user's physical environment. The method also includes presenting to the user, on the display of the head-worn client computing device, a graphical object including an image of the user's physical environment or a virtual graphical object.

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: 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.