Abstract: This disclosure is directed at least partly to a cloud prediction device that provides information to a kiosk. The cloud prediction device may receive information from a user device associated with a user, such as travel information, itineraries, calendar events, emails, etc, which may be used to determine the information. The information may also include user preferences, user recommendations, and/or historical data that may be used to determine content to be provided by the kiosk for the user and/or other users. The kiosk may provide innovative user interfaces to engage a user and provide high speed data transfer of content to a user device associated with the user. The kiosk may be located in frequently visited locations such as travel terminals or public spaces.

Abstract: In some embodiments, a display system comprising a head-mountable, augmented reality display is configured to perform a neurological analysis and to provide a perception aid based on an environmental trigger associated with the neurological condition. Performing the neurological analysis may include determining a reaction to a stimulus by receiving data from the one or more inwardly-directed sensors; and identifying a neurological condition associated with the reaction. In some embodiments, the perception aid may include a reminder, an alert, or virtual content that changes a property, e.g. a color, of a real object. The augmented reality display may be configured to display virtual content by outputting light with variable wavefront divergence, and to provide an accommodation-vergence mismatch of less than 0.5 diopters, including less than 0.25 diopters.

Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.

Abstract: A computing device can be controlled based on changes in the angle of a user's head with respect to the device, such as due to the user tilting the device and/or the user tilting his head with respect to the device. Such control based on the angle of the user's head can be achieved even when the user is operating the device “off-axis” or when the device is not orthogonal and/or not centered with respect to the user. This can be accomplished by using an elastic reference point that dynamically adjusts to a detected angle of the user's head with respect to the device. Such an approach can account for differences between when the user is changing his natural resting position and/or the resting position of the device and when the user is intending to perform a gesture based on the angle of the user's head relative to the device.

Abstract: Examples of wearable devices that can present to a user of the display device an audible or visual representation of an audio file comprising a plurality of stem tracks that represent different audio content of the audio file are described. Systems and methods are described that determine the pose of the user; generate, based on the pose of the user, an audio mix of at least one of the plurality of stem tracks of the audio file; generate, based on the pose of the user and the audio mix, a visualization of the audio mix; communicate an audio signal representative of the audio mix to the speaker; and communicate a visual signal representative of the visualization of the audio mix to the display.

Abstract: The subject technology provides embodiments for tracking a user's face/head (or another object) using one or more cameras provided by a computing device. Embodiments implement exposure sweeping based on an average intensity of a current scene to a target intensity for a given image. If a face is not detected, an exposure duration and/or gain may be adjusted and the face detection is performed again. Once the face is detected, an average intensity of a virtual bounding box surrounding the detected face is determined and exposure sweeping may be performed solely within the virtual bounding box to reach a target intensity. When the average intensity is within a predetermined threshold of the target intensity, the detected face may be at an optimal exposure. Embodiments also provide for switching to another camera(s) of the computing device when not detecting a face in the image upon performing a full exposure sweep.

Abstract: This disclosure is directed at least partly to a kiosk that provides innovative user interfaces to engage a user and provide high speed data transfer of content to a user device associated with the user. The kiosk may be located in frequently visited locations such as airports. The kiosks may advertise content and provide instructions to users about how to receive some of the content on user devices via a high speed data transfer. The high speed data transfer may use high speed data transfer protocols that enable download of a standard definition full length movie (e.g., less than 1 GB of data) in less than a couple of seconds or download of a high definition full length movie (e.g., 2-3 GB of data) in a few seconds. Besides, movies, other content may be downloaded such as electronic documents, music, games, and other electronic media available from an electronic catalog.

Abstract: Various embodiments enable a primary user to be identified and tracked using stereo association and multiple tracking algorithms. For example, a face detection algorithm can be run on each image captured by a respective camera independently. Stereo association can be performed to match faces between cameras. If the faces are matched and a primary user is determined, a face pair is created and used as the first data point in memory for initializing object tracking. Further, features of a user's face can be extracted and the change in position of these features between images can determine what tracking method will be used for that particular frame.

Abstract: The subject technology provides embodiments for tracking a user's face/head (or another object) using one or more cameras provided by a computing device. Embodiments implement exposure sweeping based on an average intensity of a current scene to a target intensity for a given image. If a face is not detected, an exposure duration and/or gain may be adjusted and the face detection is performed again. Once the face is detected, an average intensity of a virtual bounding box surrounding the detected face is determined and exposure sweeping may be performed solely within the virtual bounding box to reach a target intensity. When the average intensity is within a predetermined threshold of the target intensity, the detected face may be at an optimal exposure. Embodiments also provide for switching to another camera(s) of the computing device when not detecting a face in the image upon performing a full exposure sweep.