Systems and methods for detecting the presence of a body in a network without fiducial elements, using signal absorption, and signal forward and reflected backscatter of RF waves caused by the presence of a biological mass in a communications network.

Systems and methods for detecting the presence of a body in a network without fiducial elements, using signal absorption, and signal forward and reflected backscatter of RF waves caused by the presence of a biological mass in a communications network.

A method of determining a reference clock in a mesh network includes receiving multiple signals, correlating the multiple signals with a local signal generated by the first node to determine a coarse set of time differences, refining the coarse set of time differences using a phase of a carrier signal of the multiple signals to produce a refined set of time differences, and using the refined set of time differences to define a reference clock. A method of tracking transmitters includes receiving a signal from a transmitter, assigning an identifier to the transmitter, using radiolocation to track a location of the transmitter, recording the location and movement data of the transmitter, and releasing the identifier. A method of tracking a transmitter includes receiving a transmitted signal from the transmitter, demodulating the transmitted signal at the first node to produce a demodulated local signal, receiving a demodulated remote signal, autocorrelating the demodulated local signal and the demodulated remote signal to recover first timing differences between the demodulated remote signal and the demodulated local signal, and using the first timing difference to acquire a location of the third-party transmitter.

Example techniques involve suggesting an application of a streaming audio service via an application of a media playback system. An example implementation involves a mobile device displaying, via a control application of a media playback system, a library control comprising indicators representing respective media items of a particular streaming audio service. The mobile device receives, via the library control, input data indicating a selection of an indicator representing a particular media item. The mobile device sends instructions to cause a playback device to play back the particular media item. While the playback device is playing back the particular media item, the mobile device displays, via the control application, a control representing an application of the particular streaming audio service. The mobile device receives input data indicating a selection of the control representing the application of the particular streaming audio service and causes the mobile device to download the application.

Example techniques involve suggesting an application of a streaming audio service via an application of a media playback system. An example implementation involves a mobile device displaying, via a control application of a media playback system, a library control comprising indicators representing respective media items of a particular streaming audio service. The mobile device receives, via the library control, input data indicating a selection of an indicator representing a particular media item. The mobile device sends instructions to cause a playback device to play back the particular media item. While the playback device is playing back the particular media item, the mobile device displays, via the control application, a control representing an application of the particular streaming audio service. The mobile device receives input data indicating a selection of the control representing the application of the particular streaming audio service and causes the mobile device to download the application.

A computing device equipped with a camera may be used to assist a person in planning and traversing exit routes for a premises. For example, a user may be able to interact with one or more user interfaces generated by the computing device to determine an exit route for the premises. The user may be able to identify various objects, such as stairs or doors, along the exit route. The user may be able to identify graphical or textual information that can be displayed at certain points along the exit route. After determining the exit route, a data structure for the exit route may be shared with other users and/or be used to assist a user in traversing the exit route. For example, the data structure may be used as a basis for overlaying graphics and/or text on a real-time video display as the user traverses the exit route.

A computing device equipped with a camera may be used to assist a person in planning and traversing exit routes for a premises. For example, a user may be able to interact with one or more user interfaces generated by the computing device to determine an exit route for the premises. The user may be able to identify various objects, such as stairs or doors, along the exit route. The user may be able to identify graphical or textual information that can be displayed at certain points along the exit route. After determining the exit route, a data structure for the exit route may be shared with other users and/or be used to assist a user in traversing the exit route. For example, the data structure may be used as a basis for overlaying graphics and/or text on a real-time video display as the user traverses the exit route.

An electronic device is provided. The electronic device includes a magnetic sensor, an acceleration sensor, and a processor operatively connected to the magnetic sensor and the acceleration sensor, wherein the processor is configured to acquire multiple pieces of first magnetic data by using the magnetic sensor in a first area where the electronic device is located, generate a virtual marker corresponding to the first area by using the multiple pieces of first magnetic data, determine the movement of the electronic device on the basis of multiple pieces of first acceleration data in a first direction, the data being acquired by using the acceleration sensor, determine the posture of the electronic device on the basis of multiple pieces of second acceleration data in a second direction that is perpendicular to the first direction, the data being acquired by using the acceleration sensor, and determine, on the basis of at least one of the movement of the electronic device and the posture of the electronic device, multiple pieces of third magnetic data to be used for comparison with the virtual marker, among multiple pieces of second magnetic data acquired within a designated radius with reference to the first area by using the magnetic sensor.

An electronic device is provided. The electronic device includes a magnetic sensor, an acceleration sensor, and a processor operatively connected to the magnetic sensor and the acceleration sensor, wherein the processor is configured to acquire multiple pieces of first magnetic data by using the magnetic sensor in a first area where the electronic device is located, generate a virtual marker corresponding to the first area by using the multiple pieces of first magnetic data, determine the movement of the electronic device on the basis of multiple pieces of first acceleration data in a first direction, the data being acquired by using the acceleration sensor, determine the posture of the electronic device on the basis of multiple pieces of second acceleration data in a second direction that is perpendicular to the first direction, the data being acquired by using the acceleration sensor, and determine, on the basis of at least one of the movement of the electronic device and the posture of the electronic device, multiple pieces of third magnetic data to be used for comparison with the virtual marker, among multiple pieces of second magnetic data acquired within a designated radius with reference to the first area by using the magnetic sensor.

A method and system for measuring satisfaction for a smart building is disclosed. A method includes detecting a presence of a user at the smart building; monitoring actions of the user in the smart building with respect to each of a plurality of aspects; receiving feedback via a human machine interface from the user regarding one or more of the plurality of aspects; and building the profile for the user based on the actions and feedback; wherein: monitoring actions comprises using one or more sensors to detect movement of the user through the smart building; receiving feedback includes determining a satisfaction level of the user with respect to thermal comfort; and adjusting the one or more of the plurality of aspects based on the profile.