Abstract: Techniques are disclosed for an improved user interface, such as an input method editor (IME) that selectively collects text input based on text classification and user privacy preference. An example methodology implementing the techniques includes receiving, by the IME, at least one text input made by a user and, responsive to a determination that the at least one text input is a privacy word, causing the at least one text input to not be collected for learning usage habits of the user. The example method may also include, responsive to a determination that the at least one text input is not a privacy word, cause the at least one text input to be collected for learning usage habits of the user.

Abstract: A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory and configured to detect open eyes in an image received from a camera of the computer; recognize properties of the open eyes including orientation, designation as a left or right eye, and relative position of the eyes; group the detected open eyes into pairs of eyes based on the recognized properties; measure pupillary distance (e.g. represented in image pixels) of each of the pairs of eyes; identify the pair of eyes associated with the largest pupillary distance as the eyes closest to the camera; calculate a relative distance from the camera to the closest pair of eyes, the relative distance calculated as a ratio of the camera focal length to the largest pupillary distance; and reduce brightness of the computer screen if the relative distance is less than a threshold ratio.

Abstract: The systems and methods discussed herein provide for intelligent identification of applications or tasks to be utilized or performed by a user based on a variety of variables that provide relevant context. In some implementations, applications may be pre-launched or instantiated prior to a user requesting to execute the application, reducing user experience latency and avoiding incorrect application launch. User behavior patterns, location, time of day, user events, etc. may be utilized to identify and recommend or pre-launch relevant applications that should or can be used at any given instance. In some implementations, deep linking may be used to pre-launch or suggest specific tasks to be performed within an application.

Abstract: A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory and configured to detect open eyes in an image received from a camera of the computer; recognize properties of the open eyes including orientation, designation as a left or right eye, and relative position of the eyes; group the detected open eyes into pairs of eyes based on the recognized properties; measure pupillary distance (e.g. represented in image pixels) of each of the pairs of eyes; identify the pair of eyes associated with the largest pupillary distance as the eyes closest to the camera; calculate a relative distance from the camera to the closest pair of eyes, the relative distance calculated as a ratio of the camera focal length to the largest pupillary distance; and reduce brightness of the computer screen if the relative distance is less than a threshold ratio.

Abstract: Typically, when a user switches sessions between devices, the user authenticates the sessions by providing user account information, password, and/or pin code input or other credentials. However, when the user is frequently switching sessions between devices, authenticating sessions may result in the user reducing or even stopping switching across mobile devices. Systems and methods according to this disclosure provide automatic session roaming across mobile devices using proximity authentication. Upon detecting an indication to initiate session roaming, the source device automatically roams the session on the source device to a target device based on a proximity of the source device to the target device. The session is handed off from the source device to the target device as an authenticated user session.

Abstract: Described embodiments provide a method, computer program product, and computer system for identifying a user that is proximate to a computing device. The age type of the user may be identified. It may be determined that content displayed on the computing device is not permitted for the age type of the user. Display of the content may be altered on the computing device based upon, at least in part, determining that the content displayed on the computing device is not permitted for the age type of the user.

Abstract: Methods and systems for performing real time digital content concealment are described herein. A computing device may, in response to detecting a user within view of an image capture device of a client device, perform a first type of text recognition on a first region of digital content and a second type of text recognition on a second region of the digital content, where the first type of text recognition is determined based on a first type of content items contained in the first region and the second type of text recognition is determined based on a second type of content items contained in the second region. Based at least in part on rules corresponding to the user, the computing device may determine content items within the digital content to be concealed, and may modify the digital content to conceal the content items.

Abstract: Methods and systems for performing real time digital content concealment are described herein. A computing device may, in response to detecting a user within view of an image capture device of a client device, perform a first type of text recognition on a first region of digital content and a second type of text recognition on a second region of the digital content, where the first type of text recognition is determined based on a first type of content items contained in the first region and the second type of text recognition is determined based on a second type of content items contained in the second region. Based at least in part on rules corresponding to the user, the computing device may determine content items within the digital content to be concealed, and may modify the digital content to conceal the content items.

Abstract: Methods and systems for performing real time digital content concealment are described herein. A computing device may, in response to detecting a user within view of an image capture device of a client device, perform a first type of text recognition on a first region of digital content and a second type of text recognition on a second region of the digital content, where the first type of text recognition is determined based on a first type of content items contained in the first region and the second type of text recognition is determined based on a second type of content items contained in the second region. Based at least in part on rules corresponding to the user, the computing device may determine content items within the digital content to be concealed, and may modify the digital content to conceal the content items.