Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include receiving one or more data inputs from collaboration by one or more participant devices operated by a number of meeting participants of a meeting, identifying an initial context of the meeting based on the one or more data inputs, querying a databank of previously stored information to identify one or more additional contexts related to the initial context, linking the initial context and the one or more additional contexts by establishing one or more entity relationships, and forwarding the initial context and the one or more additional contexts as entities in a virtual collaboration space.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include identifying an initial context of a meeting based on one or more data inputs received from one or more participant devices operated by a plurality of meeting participants, querying remote data sources to identify one or more additional contexts associated with one or more of a specific period of time and a trending topic related to the initial context, forwarding a first of the one or more additional contexts to a first collaboration space of a virtual collaboration space, forwarding at least one additional context of the one or more additional contexts to a second collaboration space of the virtual collaboration space, identifying one or more sentiment actions associated with the one or more meeting participants, and overlaying the first collaboration space and the second collaboration space on an augmented reality display of a device based on the one or more sentiment actions.

Abstract: An example may include receiving one or more data inputs from collaboration by one or more participant devices operated by a number of meeting participants of a meeting, identifying an initial context of the meeting based on the one or more data inputs, querying a databank of previously stored information to identify one or more additional contexts related to the initial context, linking the initial context and the one or more additional contexts by establishing one or more entity relationships, and forwarding the initial context and the one or more additional contexts as entities in a virtual collaboration space.

Abstract: In particular embodiments, a method includes generating a 3D display of an avatar of a person, where the avatar can receive inputs identifying a type of a physiological event, a location of the physiological event in or on a person's body in three spatial dimensions, a time range of the physiological event, a quality of the physiological event, and rendering the physiological event on the avatar based on the inputs.

Abstract: A method for presenting metadata during a video conference includes receiving a first video conferencing stream from a first site. Metadata associated with the first video conferencing stream is identified. A second video conferencing stream incorporating the identified metadata is created using a processor. The second video conferencing stream is presented at a second site.

Abstract: In particular embodiments, a method includes generating a 3D display of an avatar of a person, where the avatar can receive inputs identifying a type of a physiological event, a location of the physiological event in or on a person's body in three spatial dimensions, a time range of the physiological event, a quality of the physiological event, and rendering the physiological event on the avatar based on the inputs.

Abstract: A method for presenting metadata during a video conference includes receiving a first video conferencing stream from a first site. Metadata associated with the first video conferencing stream is identified. A second video conferencing stream incorporating the identified metadata is created using a processor. The second video conferencing stream is presented at a second site.

Abstract: A method for controlling and tracking access to disseminated information involves encrypting data using a key that is maintained in a key repository. A user requests a message ID and key from the key repository. The key repository issues a message ID and key to the user. The user generates an encrypted message using the key. The encrypted message is then distributed with the message ID to one or more recipients. To read the encrypted message, a particular recipient obtains the key for the message from the key repository by providing the message ID to the key repository. The particular recipient then decrypts the message using the key provided by the key repository. Messages are deleted, in the sense of becoming unusable, by deleting the corresponding key from the key repository. A log is provided to track key repository activity including the issuance of keys and key requests from message recipients.

Abstract: In general, data exchanged between users is protected using any of various encoding approaches. An example of encoding is encryption, but any kind of encoding may be used. The data used to encrypt the data exchanged between the users, referred to as a “key”, is maintained only in a key repository. Users must obtain a key from the key repository to either encode or decode, encrypt or decrypt data, after which the user's copy of the key is destroyed or otherwise rendered inoperable. A key management policy is employed to control access to the keys maintained by the key repository. Encoding algorithms may be dynamically changed over time. Users may negotiate different algorithms to be used with specific users or messages. Thus, different algorithms may be used between different sets of users depending upon what the member users of those sets negotiate among themselves. The frequency at which algorithms are changed may also be separately negotiated between users.

Abstract: A motion controlled handheld device includes a display having a viewable surface and operable to generate a current image and a gesture database maintaining a plurality of gestures. Each gesture is defined by a motion of the device with respect to a first position of the device. The device includes a gesture mapping database comprising a mapping of each of the gestures to an associated command, a motion detection module operable to detect motion of the device within three dimensions and to identify components of the motion in relation to the viewable surface and a display control module having a first mode of operation and a second mode of operation. The display control module is operable in the first mode of operation to monitor the motion of the device, to determine a location of the device resulting from the motion, and to modify the current image based on the resulting location of the device.

Abstract: A motion controlled handheld device includes a display having a viewable surface and operable to generate an image and a motion detection module operable to detect motion of the device within three dimensions and to identify components of the motion in relation to the viewable surface. The components comprise a first component parallel to the viewable surface, a second component parallel to the viewable surface and perpendicular to the first component, and a third component perpendicular to the viewable surface. The device includes a motion processing module operable to compare the components, to isolate a preferred one of the components based on the comparison, and to adjust a magnitude of the preferred component by an augmentation factor. The device also includes a motion response module operable to modify the image based on the augmented preferred component.

Abstract: A motion controlled handheld device includes a display having a viewable surface and operable to generate an image and a gesture database maintaining a plurality of gestures. Each gesture is defined by a motion of the device with respect to a first position of the device. The gesture database comprises a first gesture set and a second gesture set. The device includes a motion detection module operable to detect motion of the handheld device within three dimensions and to identify components of the motion in relation to the viewable surface.

Abstract: A motion controlled handheld device includes a display having a viewable surface and operable to generate a current image. The device includes a motion detection module operable to detect motion of the device within three dimensions and to identify components of the motion in relation to the viewable surface. The device also includes a gesture database comprising a plurality of gestures, each gesture defined by a motion of the device with respect to a first position of the device. The gestures comprise at least four planar gestures each defined by a motion vector generally aligned in parallel with the viewable surface. The device includes a gesture mapping database mapping each of the gestures to a corresponding command, the gesture mapping database mapping each of the four planar gestures to a corresponding grid navigation command.

Abstract: A motion controlled handheld device includes a user interface comprising a display having a viewable surface and operable to generate a current image and a gesture database maintaining a plurality of gestures. Each gesture is defined by a motion of the device with respect to a first position of the device. The device includes a motion detection module operable to detect motion of the device within three dimensions and to identify components of the motion in relation to the viewable surface. The device includes a control module operable to track movement of the handheld device using the motion detection module, compare the tracked movement against potential ones of the gestures, determine that the tracked movement does not indicate a unique one of the gestures, and generate feedback reporting that the tracked movement does not indicate a unique one of the gestures using the user interface.

Abstract: A handheld device includes a gesture database maintaining a plurality of gestures, each gesture defined by a motion of the device with respect to a first position of the handheld device. The gestures comprise a plurality of remote command gestures and at least one device selection gesture. The device includes a gesture mapping database comprising a plurality of command maps, each of the command maps corresponding to a particular controllable device and mapping at least one of the remote command gestures to a command for controlling operation of the particular controllable device. The device also includes a motion detection module operable to detect motion of the handheld device within three dimensions and a device selection module operable to detect the device selection gesture based on the motion of the handheld device and to select a currently controlled one of the controllable devices in response to the device selection gesture.

Abstract: A motion controlled handheld device includes a user interface comprising a display having a viewable surface and operable to generate a current image and a motion detection module operable to detect motion of the device within three dimensions and to identify components of the motion in relation to the viewable surface. The device includes a device state tracking module operable to analyze the components to determine an environmental state of the device. The environmental state comprises a motion state and an orientation of the device with respect to gravity. The device also includes a controller operable to execute an application and to perform an operation of the application based on the environmental state.