Abstract:
In one embodiment, a method includes receiving real-time sensor data from multiple sensors located on multiple surfaces of a computing device; detecting a transition in the real-time sensor data from a steady state; and determining based on the detection an imminent use of the computing device.
Abstract:
In one embodiment, a portable, networked, computing device comprises a processor, a plurality of radios, and a memory. The device may be operable to pair, by at least one of the radios, with a device associated with a user. The device may then monitor, by one of the radios, a signal for a connection established with a first network. When the device determines that the signal for the first network has dropped below a threshold level of quality, it may enable access point mode for at least one of the paired devices by turning on a radio to establish a connection with a second network and thereby providing connectivity to the second network for the at least one of the paired devices. If multiple networks are available, the device may select an optimal network based on an assessment of one or more factors.
Abstract:
In one embodiment, a method includes analyzing information received from a first network-enabled device to identify instructions for a second network-enabled device associated with a second user of a social-networking system, the first network-enabled device being associated with a first user of the social-networking system. The method also includes determining (1) that the first user is connected to the second user with respect to a social graph of the social-networking system and (2) that the first user has authorization to provide instructions to the second network-enabled device, where the authorization is based on social-networking information. The method further includes providing the instructions to the second network-enabled device.
Abstract:
In one embodiment, a method includes receiving sensor data from a number of sensors of the computing device. The sensor data corresponds to a particular state associated with the computing device. The method also includes determining a vector corresponding to the received sensor data; and comparing the vector with a pre-determined hyperplane. The hyperplane corresponds to a number of imminent uses of the computing device. The method also includes determining whether the particular state associated with the computing device corresponds to a particular one of the imminent uses of the computing device based on the comparison of the vector with the pre-determined hyperplane.
Abstract:
In one embodiment, a method includes analyzing information received from a first network-enabled device to identify instructions for a second network-enabled device associated with a second user of a social-networking system, the first network-enabled device being associated with a first user of the social-networking system. The method also includes determining (1) that the first user is connected to the second user with respect to a social graph of the social-networking system and (2) that the first user has authorization to provide instructions to the second network-enabled device, where the authorization is based on social-networking information. The method further includes providing the instructions to the second network-enabled device.
Abstract:
A wireless communications device includes multiple switchable antenna elements that may be used to improve interfacing of the wireless communications device with other devices, such as for interfacing of an RFID-equipped mobile communications device with other RFID devices (e.g., to better ensure power delivery to and/or communication with such other RFID devices) and/or may be used to characterize various aspects of the environment around the wireless communications device, such as for proximity-based functionality.
Abstract:
In one embodiment, a method includes receiving sensor data from a number of sensors of the computing device. The sensor data corresponds to a particular state associated with the computing device. The method also includes determining a vector corresponding to the received sensor data; and comparing the vector with a pre-determined hyperplane. The hyperplane corresponds to a number of imminent uses of the computing device. The method also includes determining whether the particular state associated with the computing device corresponds to a particular one of the imminent uses of the computing device based on the comparison of the vector with the pre-determined hyperplane.
Abstract:
In one embodiment, a portable, networked, computing device comprises a processor, a plurality of radios, and a memory. The device may be operable to pair, by at least one of the radios, with a device associated with a user. The device may then monitor, by one of the radios, a signal for a connection established with a first network. When the device determines that the signal for the first network has dropped below a threshold level of quality, it may enable access point mode for at least one of the paired devices by turning on a radio to establish a connection with a second network and thereby providing connectivity to the second network for the at least one of the paired devices. If multiple networks are available, the device may select an optimal network based on an assessment of one or more factors.
Abstract:
In one embodiment, a method includes receiving information from a network-enabled device, the network-enabled device being associated with a first user of a social-networking system. The information indicates that the physical presence of an item has been detected by one or more sensors of the network-enabled device. The method further includes identifying the item based on the received information and providing information about the identified item to one or more second users of the social-networking system.
Abstract:
In one embodiment, a method includes receiving real-time sensor data from N sensors on the computing device. The real-time sensor data corresponds to a transition in a physical state of the computing device caused by a user of the computing device. The method also includes applying a linear function to the real-time sensor data from each of the N sensors; determining a vector based on an N-tuple comprising the derivatives; comparing the vector with a pre-determined hyperplane with N−1 dimensions; and determining based on the comparison whether the transition is an event corresponding to any of one or more pre-determined imminent uses of the computing device by the user or a non-event not corresponding to any of the pre-determined imminent uses of the computing device by the user.