Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

Abstract: Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: transmit a wakeup signal to a plurality of devices based on coarse grain location information; send a request to a first device of the plurality of devices to transmit a token using a first communication technology to determine fine grain copresence; receive a first token acknowledgment from a first subset of the plurality of devices; send a request to a second device of the first subset of the plurality of devices to transmit the token using a second communication technology to determine fine grain copresence; receive a second token acknowledgment from a second subset of the plurality of devices; and refine copresence based on receiving the first and second token acknowledgment.

Abstract: Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.

Abstract: A mobile device includes at least one imaging sensor to capture imagery of an environment of the mobile device, a privacy filter module, a spatial feature detection module, an assembly module, and a network interface. The privacy filter module is to perform at least one image-based privacy filtering process using the captured imagery to generate filtered imagery. The spatial feature detection module is to determine a set of spatial features in the filtered imagery. The assembly module is to generate an area description file representative of the set of spatial features. The network interface is to transmit the area description file to a remote computing system. The assembly module may select only a subset of the set of spatial features for inclusion in the area description file.

Abstract: A computing system may receive a map of features in an environment. The computing system may identify one or more regions of the map for data collection. The computing system may receive sensor data from a plurality of devices. The sensor data may be associated with one or more periods of time when the sensor data was collected by the plurality of devices. The computing system may determine a likelihood of one or more devices being within a portion of the environment that corresponds to the one or more regions of the map for data collection during a future period of time. The computing device may provide a request for given sensor data from the one or more devices based on the likelihood. The given sensor data may be associated with the future period of time.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes modeling signals of wireless signal emitters. A computing device can determine first and second trained Gaussian processes. The respective first and second Gaussian processes can be based on first and second hyperparameter values related to first and second wireless signal emitters. The computing device can determine first and second sets of comparison hyperparameter values of the respective first and second hyperparameter values, and then determine whether the first and second sets of comparison hyperparameter values are within one or more threshold values.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes. A computing device can determine trained Gaussian processes related to wireless network signal strengths, where a particular trained Gaussian process is associated with one or more hyperparameters. The computing device can designate one or more hyperparameters. The computing device can determine a hyperparameter histogram for values of the designated hyperparameters of the trained Gaussian processes. The computing device can determine a candidate Gaussian process associated with one or more candidate hyperparameter value for the designated hyperparameters. The computing device can determine whether the candidate hyperparameter values are valid based on the hyperparameter histogram. The computing device can, after determining that the candidate hyperparameter values are valid, add the candidate Gaussian process to the trained Gaussian processes.

Abstract: A computing system includes a network interface, a first datastore, a second datastore, and a merge module. The merge module is to receive a set of one or more area description files from a set of one or more first mobile devices. Each area description file represents a point cloud of spatial features detected by a corresponding first mobile device at an area. The computing system further includes a localization module and a query module. The localization generation module is to generate a localization area description file for the area from the set of one or more area description files and to store the localization area description file in the second datastore. The localization area description file represents a point cloud of spatial features for the area. The query module is to provide the localization area description file to a second mobile device via the network interface.

Abstract: The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to receive user input regarding copresence detection settings for a first user device, the copresence detection settings comprising a location and/or a user access control list, and determine a current location of the first user device. The system may determine whether copresence detection of the first user device is enabled at the current location based on the copresence detection settings and the current location. Based on determining that copresence detection is enabled, the system may refine copresence and perform an action based on fine grain copresence of the first and second user device.

Abstract: Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on signal strength measurements. A computing device can receive a particular signal strength measurement, which can include a wireless-signal-emitter (WSE) identifier and a signal strength value and can be associated with a measurement location. The computing device can determine one or more bins; each bin including statistics for WSEs and associated with a bin location. The statistics can include mean and standard deviation values. The computing device can: determine a particular bin whose bin location is associated with the measurement location for the particular signal strength measurement, determine particular statistics of the particular bin associated with a wireless signal emitter identified by the WSE identifier of the particular signal strength measurement, and update the particular statistics based on the signal strength value. The computing device can provide an estimated location output based on the bins.