Abstract:
Methods and systems are disclosed for incrementally sharing increasing amounts of information between two or more user devices. An aspect detects a second user device that is proximate a first user device, receives first log data from the second user device, determines whether the first user device and the second user device interacted with each other during a first period of time based on the first log data, assigns a first trust level to the second user device based on the first log data, wherein the second log data is more private than the first log data, determines whether the first user device and the second user device interacted with each other during a second period of time based on the received second log data, and assigns a second trust level to the second user device based on the second log data.
Abstract:
The disclosure relates to facilitating and tracking joint purchases among multiple parties. More particularly, multiple parties may use a joint purchasing service to jointly purchase one or more items according to a consecutive, concurrent, or other ownership distribution that the parties agreed upon, and the joint purchasing service may implement one or more controls to track and maintain the ownership distribution. For example, locations associated with jointly purchased items may be tracked such that joint purchasers may be notified when possession should be transferred (e.g., when the current owner's turn expires, when one owner exceeds a usage proportion allocated thereto, etc.). Furthermore, ownership over certain jointly purchased items may be automatically managed (e.g., an electronic item may be transferred from one joint owner to another when the current owner's turn expires, joint owners may be required to be in proximity to use the item, etc.).
Abstract:
The disclosure is related to confirming an identity of a first user of a first user device. An aspect includes receiving a request to confirm the identity of the first user, determining whether or not there is a relationship between the first user or the first user device and a second user of a second user device or the second user device based on a first list of user interactions associated with the first user device and a second list of user interactions associated with the second user device, and confirming the identity of the first user based on determining that there is a relationship between the first user or the first user device and the second user or the second user device.
Abstract:
Mechanisms to trigger commands on target devices when source devices broadcast certain notifications to thereby automate common, routine, or otherwise related activities among heterogeneous devices are provided. For example, when a source device broadcasts a notification that arrives at a control device, a trigger that links the notification to a command on the target device may be defined and stored at the control device, which may then automatically invoke the command on the target device when the source device broadcasts the notification again in the future. In other use cases, the trigger and the linked command may be pushed to the broadcasting source device, which may then invoke the command on the target device when broadcasting the notification in the future, or a listener may be configured on the target device such that the target device may invoke the command in response to locally detecting the notification linked thereto.
Abstract:
Method and apparatuses for constructing a grammar to describe interactions among a plurality of devices in a network are disclosed. An aspect receives, by a network interface of a device, device capabilities of each of the plurality of devices, generates, by a reduced device list generator of the device, a reduced device list representing groupings of the plurality of devices based on the device capabilities, models, by an interaction sequence modeler of the device, one or more sequences of interactions among the plurality of devices using the reduced device list, constructs, by a grammar construction module of the device, the grammar based on the modeled one or more sequences of interactions, and stores the grammar in a memory of the device.
Abstract:
The disclosure is related to calculating a relative distance between a first node and a second node in a wireless network. An aspect of the disclosure includes detecting a plurality of transitions of a user device from the first node to the second node, determining a relationship between the first node and the second node based on the plurality of transitions, and calculating the relative distance between the first node and the second node based on the determined relationship.
Abstract:
In an embodiment, a device controller initiates a dynamic discovery procedure to detect media output devices that are currently in proximity to a user. The device controller determines a first subset of the detected media output devices configured to present a first media type (e.g., video, audio, etc.) to the user and a second subset of the detected media output devices configured to present a second media type (e.g., audio, video, etc.) to the user. The device controller directs first and second portions of media to the first and second subsets conjunctive presentation. In another embodiment, the first and/or second subsets can include two or more devices, such that the same media type can be presented by multiple devices (e.g., to achieve a surround sound effect, a split-screen or cloned video effect, etc.).
Abstract:
The disclosure is directed to controlling of Internet of Things (IoT) devices based on detecting a device and obtaining control information and associated rules for controlling the device. The control functions available to a smart controller can vary based on the condition of the various rules and/or the interaction of the various devices detected.
Abstract:
In an embodiment, an apparatus receives report(s) of raw motion data detected in IoT environment, and also receives report(s) indicating user-initiated event(s) detected by a set of IoT devices within the IoT environment. The apparatus scans the raw motion data within a threshold period of time preceding particular detected user-initiated events to identify motion sequence(s) within the IoT environment that occurred during the threshold period of time. Certain motion sequence(s) are correlated with user-initiated event(s) based on a confidence level that the user-initiated event(s) will follow the motion sequence(s). Upon detection of the motion sequence(s) at some later point in time, the correlated event(s) is preemptively triggered without user interaction.
Abstract:
The disclosure generally relates to various methods to discover, configure, and leverage relationships in Internet of Things (IoT) networks. More particularly, the methods disclosed herein may support automated processes to create configurable sub-divisions and access controls in an IoT network based on usage associated with objects that are registered in the IoT network and interactions among the registered objects. Furthermore, in one embodiment, relationships between IoT devices that belong to different users may be implicitly discovered and/or ranked based on meetings (e.g., interactions) between the IoT devices, and relationships between the different users may likewise be implicitly discovered and/or ranked. Moreover, locations and interactions associated with IoT devices may be tracked over time to further discover user-specific and potentially asymmetric relationships among the IoT devices and/or the users associated therewith (e.g., where one user considers another user a close friend and the other user considers the first user an acquaintance).