Abstract: In a method of maintenance of a location fingerprint database for an area, signal measurement data is collected together with motion sensor data from each of a plurality of portable devices transiting a portion of the area of the location fingerprint database. The motion sensor data is collected by a sensor assembly in each of the plurality of portable devices. Offline non-causal processing is used to process the collected motion sensor data into reference positions associated with the portion of the area. The collected signal measurement data is employed together with the reference positions to update the location fingerprint database.

Abstract: A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

Abstract: A cross reality system enables any of multiple devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. Both stored maps and tracking maps used by portable devices may have wireless fingerprints associated with them. The portable devices may maintain wireless fingerprints based on wireless scans performed repetitively, based on one or more trigger conditions, as the devices move around the physical world. The wireless information obtained from these scans may be used to create or update wireless fingerprints associated with locations in a tracking map on the devices. One or more of these wireless fingerprints may be used when a previously stored map is to be selected based on its coverage of an area in which the portable device is operating. Maintaining wireless fingerprints in this way provides a reliable and low latency mechanism for performing map-related operations.

Abstract: Provided is a computer-implemented method for predicting payment transactions using a machine learning technique that includes receiving transaction data, generating a categorical transaction model based on the transaction data, determining a plurality of prediction scores including determining, for one or more users, a prediction score in each merchant category of a plurality of merchant categories for each predetermined time segment of a plurality of predetermined time segments, where a respective prediction score includes a prediction of whether a user will conduct a payment transaction in a merchant category at a time associated with a predetermined time segment associated with the respective prediction score, determining a recommended merchant category and a recommended predetermined time segment of at least one offer, generating the at least one offer, and communicating the at least one offer to the one or more users. A system and computer program product are also disclosed.

Abstract: A method of caching data at a processing node within a communication network can include predicting a future location of a user. A processing node within the communication network can be selected according to the future location. Data to be sent to the selected processing node can be selected. The selected data can be sent to the selected processing node.

Abstract: A determination is made as to whether a computing device is located inside a first geofence of a geofence environment. A first location determination mode available to the computing device for determining a location of the computing device is identified. A second location determination mode available to the computing device for determining a location of the computing device is identified, wherein the second location determination mode consumes less power than the first location determination mode. A selection is made between the first location determination mode and the second location determination mode, based on the determination of whether the computing device is located inside the first geofence. A next location of the computing device is determined using the selected location determination mode, a next location of the computing device.

Abstract: An apparatus configured to be worn on a head of a user, includes: a screen configured to present graphics to the user; a camera system configured to view an environment in which the user is located; and a processing unit configured to determine a map based at least in part on output(s) from the camera system, wherein the map is configured for use by the processing unit to localize the user with respect to the environment; wherein the processing unit of the apparatus is also configured to obtain a metric indicating a likelihood of success to localize the user using the map, and wherein the processing unit is configured to obtain the metric by computing the metric or by receiving the metric.

Abstract: Triangulated movement and non-movement of a mobile device of a shopper are tracked among different locations within at least one retail environment to identify a shopper merchandise proximity history of the shopper within the at least one retail environment. The tracking uses a coordinated combination of mobile device global positioning system (GPS) information with detected triangulated proximity of the mobile device relative to a plurality of different retail environment low-energy communication devices. Responsive to identifying within the shopper merchandise proximity history an item of merchandise that meets at least one shopper merchandise threshold interest criterion, an electronic message that includes a gift recommendation of the item of merchandise is provided to at least one other user associated with and located remotely from the shopper.

Abstract: Aspects of the technology described herein provide a personalized computing experience for a user based on a predicted future semantic location of the user. In particular, a likely future location (or sequences of future locations) for a user may be determined, including contextual information about the future location. Using information from the current context of the user's current location with historical observations about the user and expected user events, out-of-routine events, or other lasting or ephemeral information, a prediction of one or more future semantic locations and corresponding confidences may be determined and used for providing personalized computing services to the user. The prediction may be provided to an application or service such as a personal assistant service associated with the user, or may be provided as an API to facilitate consumption of the prediction information by an application or service.

Abstract: Provided is a computer-implemented method for predicting payment transactions using a machine learning technique that includes receiving transaction data, generating a categorical transaction model based on the transaction data, determining a plurality of prediction scores including determining, for one or more users, a prediction score in each merchant category of a plurality of merchant categories for each predetermined time segment of a plurality of predetermined time segments, where a respective prediction score includes a prediction of whether a user will conduct a payment transaction in a merchant category at a time associated with a predetermined time segment associated with the respective prediction score, determining a recommended merchant category and a recommended predetermined time segment of at least one offer, generating the at least one offer, and communicating the at least one offer to the one or more users. A system and computer program product are also disclosed.

Abstract: A method and system of crowd-sourced training of a neural network for mobile device indoor navigation and positioning. The method, executed in a processor of a server computing device, comprises: based on RSS parameters acquired at a mobile device from a wireless signal source, localizing the mobile device to a first position within indoor area in accordance with a probabilistic confidence level; if the confidence level exceeds a threshold confidence level, adding the RSS parameters in association with the first position to a fingerprint database of the indoor area; and training a neural network implemented in the processor at least in part based on the RSS parameters as added to the fingerprint database.

Abstract: Identifying and estimating values of atmospheric conditions for use in estimating an altitude of a mobile device. Systems and methods for monitoring one or more conditions before estimating an altitude of a mobile device may receive a reference pressure that was determined using a measurement of pressure measured by a reference pressure sensor, and determine if a temperature condition is detected. After determining that the temperature condition is not detected, the systems and methods may compute a first estimate of an altitude of a mobile device using the reference pressure.

Abstract: A computer implemented method, system and computer program product for observing a mobile device's interaction with a set of resources in a geographic location, and creating a usage profile for the set of resources based on the mobile device's interactions with the resources. The usage profile includes a prediction of a subset of resources that will be used at a second geographic location in order to migrate the subset of resources to the second geographic location when the mobile device moves to the second geographic location.

Abstract: Various implementations described herein are directed to a marine electronics device used to display marine sonar data. The marine electronics device may include a computer system with a processor, memory, and a display. The memory may have a plurality of executable instructions. When the executable instructions are executed by the processor, the processor may receive depth information determined using a sonar device disposed underneath a vessel and configured to acquire sonar data in the direction of travel of the vessel. The processor may then cause the received depth information to be displayed on a navigation chart.

Abstract: According to an example, a communication terminal is described comprising a determiner configured to determine cell search control information including at least a radio access technology to be searched for, a search duration, a number of search iterations, a number of antennas to be used for the search and based on at least one of information about the current radio conditions that the communication terminal is experiencing, position of the terminal, historical information about the presence of the radio cells at the position of the communication terminal, communication terminal attach history in terms of moving from some specific RATs/cells to other specific RATs/cells, proximity sensors' information and a transceiver configured to perform a cell search based on the determined cell search control information.

Abstract: A determination is made as to whether a computing device is located inside a first geofence of a geofence environment. A first location determination mode available to the computing device for determining a location of the computing device is identified. A second location determination mode available to the computing device for determining a location of the computing device is identified, wherein the second location determination mode consumes less power than the first location determination mode. A selection is made between the first location determination mode and the second location determination mode, based on the determination of whether the computing device is located inside the first geofence. A next location of the computing device is determined using the selected location determination mode, a next location of the computing device.

Abstract: In a general aspect, a location of detected motion in a space is determined. In some aspects, motion of an object in a space is detected based on wireless signals communicated through the space by a wireless communication system that includes multiple wireless communication devices. Each wireless signal is transmitted and received by a respective pair of the wireless communication devices. Motion indicator values are computed for the respective wireless communication devices. The motion indicator value for each individual wireless communication device represents a degree of motion detected by the individual wireless communication device based on a subset of the wireless signals transmitted or received by the individual wireless communication device. A location of the detected motion in the space is determined based on the motion indicator values.

Abstract: A computing device is provided. The computing device includes a user interface configured to receive an input that indicates a user has detected an object of interest in a body of water, a processing device coupled to the user interface, the processing device configured to automatically retrieve, in response to the input, data from at least one data source, and generate a report including the retrieved data, and a means for transmitting data coupled to the processing device and configured to transmit the generated report to a database that includes a plurality of navigational charts, wherein the generated report is used to update at least one of the database and at least one of the plurality of navigational charts to include the object of interest.

Abstract: Various embodiments of a system and method for generating predictions based on wireless commerce transactions are described. Various embodiments may include a wireless commerce transaction analysis system configured to generate one or more models based on aggregated wireless commerce transaction information indicating one or more wireless commerce transactions completed with respective mobile devices of multiple users. For each of at least some of the wireless commerce transactions, the aggregated wireless commerce transaction information may indicate one or more characteristics of the wireless commerce transaction. The wireless commerce transaction analysis system may also be configured to generate a prediction of a future action to be performed by a user of a particular mobile device. The generation of the prediction may be dependent upon an evaluation of the one or more models and one or more wireless commerce transactions completed with the particular mobile device at one or more locations.

Abstract: In accordance with an example embodiment of the present invention, an apparatus comprises a receiver for receiving a list of access points detected at a location, a processor for determining the number of times at least one access point in the list is detected during a first period of time and a processor for determining to use an access point in generating a partial radio map based at least in part on the number of times the access point is detected during a second period of time.

Abstract: Method for providing flight information data for a passenger in an aircraft, wherein the flight information data are transmitted from a cockpit system in the aircraft to at least one passenger information system in the same aircraft, wherein the flight information data are transmitted as a secondary radar signal and/or monitoring signal and received by the at least one passenger information system.

Abstract: An information processing device configured to communicate with a plurality of mobile terminals, the information processing device includes a memory and a processor coupled to the memory and configured to acquire, from the plurality of mobile terminals, information related to movements of the plurality of mobile terminals, identify, based on the information, movement patterns of the plurality of mobile terminals, identify, based on the movement patterns, a queue including at least two mobile terminals of the plurality of mobile terminals, identify, based on the information of the mobile terminals included in the queue, a waiting time that elapses before a first mobile terminal that is one of the plurality of mobile terminals and that is included in the queue reaches a head of the queue, and output the identified waiting time.

Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally; using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.

Abstract: Approaches for enhancing range-based position determination using pairwise error detection and compensation are provided. One method for enhancing a position estimate of a first node may include performing measurements at the first node using a signal received from a second node, and receiving measurements from the second node. The received measurements may be performed at the second node using a signal provided by the first node. The method may further include determining pairwise comparisons of the performed measurements and the received measurements, and compensating the measurements performed at the first node, based on the pairwise comparisons, for estimating the position of the first node. Systems and apparatuses for performing the various position determination methods are further presented.

Abstract: Crowdsourced information may be used to associate APs with a venue and creating a venue-specific information file based on this association. This can enable the mobile device to download a single venue information file for a venue in which the mobile device may stay for an extended period of time, which may alleviate or eliminate the need to download additional AP location information while at the venue.

Abstract: According to one aspect of the present invention there is provided a method for controlling data service for a user of a telecommunication network. The method comprising: retrieving data associated with historical behavior of the user within the network; predicting, based on said data and on a current user location within the network, a future user location within the network; performing a determination of network capability at the future user location; and modifying, in response to the determination, a configuration of the network and/or a service parameter associated with the user. A network element, system and computer program product are also provided.

Abstract: A method and system of dynamically updating presence, capabilities and identity information based on environmental conditions using environment information of a user of a mobile device. One or more wireless networks or devices or both are detected using at least one wireless interface of the mobile device. Thereafter, presence information of the user of the mobile device is generated based on the mobile device's location. Next, either a mode of the mobile device is set in accordance with the presence information or communication handling preferences are configured for the user of the mobile device based on the presence information or preferences of applications on the mobile device are configured.

Abstract: Mobile device users may be tracked either via mobile-signal triangulation or via Global Positioning Satellite information. A mobile device user's recent movements may be analyzed to determine trails or traffic patterns for device user among various locations. Mobile device trail information, either for an individual user or aggregated for multiple users, may be analyzed to determine a next destination for the user. Electronic advertising content, such as advertisements, coupons and/or other communications, associated with the next destination may be sent to the mobile device. Additionally, the identity of the mobile device use may be known and the advertisements or coupons may be tailored according to demographic information regarding the mobile device user. In addition, destinations may be recommended to mobile device users based on the recent locations the users have visited.

Abstract: A mobile device is provided. The mobile device includes a transceiver, a sensor unit, a storage device and a processor. The sensor unit detects the position and the motion of the mobile device to provide sensor data. The storage device stores activity records. The processor obtains an identification code of the base station connected to the mobile device through the transceiver and calculates the height of the mobile device according to the sensor data. When the identification code of the base station and the height of the mobile device match those in an activity record, the processor executes a predetermined function corresponding to the activity record. When the execution of the predetermined function fails, the processor generates a moving trail of the mobile device according to the sensor data. When the moving trail of the mobile device matches that in the activity record, the processor executes the predetermined function.

Abstract: A method for requesting assistance data includes, at a mobile device, determining an expected quality of service information, transmitting a request for assistance data, transmitting the expected quality of service information, and receiving an assistance data file comprising heat map information, wherein the heat map information includes a heat map grid resolution and a suitable quantization precision level for heat map values as determined, at least in part, based on the expected quality of service information.

Abstract: Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.

Abstract: A wireless localization method using a fingerprinting technique that performs localization by using a plurality of access points and a plurality of sample points arranged at regular distances, the wireless localization method includes: detecting first through third sample points adjacent to a predetermined node from among the plurality of sample points via the fingerprinting technique; calculating corrected coordinates by using a received signal strength (RSS) between the predetermined node and the first sample point, an RSS value between the predetermined node and the second sample point, an RSS value between the first and second sample points, an RSS value between the first and third sample points, and a distance between the plurality of sample points; and estimating a location of the predetermined node by reflecting the corrected coordinates on coordinates of the first sample point.

Abstract: A method includes receiving wireless signals from consumer devices that are in communicable range of the merchant device. The wireless signals each include a unique identifier associated with one of the consumer devices. The method further comprises generating signal strength data that includes one signal strength value associated with the unique identifier of each of the wireless signals, storing the signal strength data in a data storage device, analyzing the signal strength data to determine how many of the consumer devices achieved various signal strength levels, determining a threshold signal strength value based on the analysis, determining a consumer device is present within a physical area when a subsequent wireless signal from a subsequent consumer device is greater than the threshold signal strength value.

Abstract: A method, including: receiving, at an apparatus, first and second radio signals from a first location; discriminating the first and second radio signals, in order to estimate a bearing from the first location; and estimating, using the bearing and constraint information which is independent of the radio signals, a position of the apparatus.

Abstract: The subject matter disclosed herein relates to a system and method for determining indoor context information relating to a location of a mobile device. Indoor context information may be utilized by a mobile device or a network element to obtain an estimate of a location of the mobile device within an indoor environment.

Abstract: A method and apparatus for using inertial navigation for obtaining calibration data for an indoor positioning system are disclosed. In one embodiment, the method comprises tracking motion of a device between known locations within a structure using inertial navigation, collecting a plurality of Wi-Fi signatures with the device while tracking the motion of the device between the known locations, and matching each of the plurality of Wi-Fi signatures to a point between the known locations, where the matched Wi-Fi signatures are for use in comparing to Wi-Fi signatures being received by the indoor positioning system to identify an indoor location of a device within the structure.

Abstract: The present invention provides a method of unsupervised learning and location for tracking users in a wireless communication system. One embodiment of the method includes forming a signal map of a geographic area using unlabeled values of one or more signals so that the signal map relates locations in the geographic area to values of the signal(s).

Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for updating radio models. For certain example implementations, a method for one or more server devices may comprise receiving at one or more communication interfaces at least one measurement that corresponds to a position of a first mobile device within an indoor environment. At least one radio model that is stored in one or more memories may be updated based, at least in part, on the at least one measurement to produce at least one updated radio model. The at least one radio model and the at least one updated radio model may correspond to the indoor environment. The at least one updated radio model may be transmitted to enable a second mobile device to use the at least one updated radio model for positioning within the indoor environment. Other example implementations are described herein.

Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for updating radio models. For certain example implementations, a method for one or more server devices may comprise receiving at one or more communication interfaces at least one measurement that corresponds to a position of a first mobile device within an indoor environment. At least one radio model that is stored in one or more memories may be updated based, at least in part, on the at least one measurement to produce at least one updated radio model. The at least one radio model and the at least one updated radio model may correspond to the indoor environment. The at least one updated radio model may be transmitted to enable a second mobile device to use the at least one updated radio model for positioning within the indoor environment. Other example implementations are described herein.

Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for updating radio models. For certain example implementations, a method for one or more server devices may comprise receiving at one or more communication interfaces at least one measurement that corresponds to a position of a first mobile device within an indoor environment. At least one radio model that is stored in one or more memories may be updated based, at least in part, on the at least one measurement to produce at least one updated radio model. The at least one radio model and the at least one updated radio model may correspond to the indoor environment. The at least one updated radio model may be transmitted to enable a second mobile device to use the at least one updated radio model for positioning within the indoor environment. Other example implementations are described herein.

Abstract: Methods and apparatus are provided for determining and representing a location or position of a node in a network. When the node receives position measurement information from a reference node, the node generates, based on the position measurement information, a position probability space (PPS) which defines a space that encompasses possible positions where the node is possibly positioned in the network. The PPS includes a centroid (i.e., a set of coordinates), and a set of vectors which originate from the centroid and define the space around the centroid. The magnitude of each vector reflects the accuracy of the position in the direction of the vector.

Abstract: User-generated content that is associated with a geographic location is uploaded to existing networked services or directly to a digital map updating service. Distinct digital map updating services can be assigned to defined geographic areas, such that they are only notified of, or poll for, new user-generated content within their defined geographic areas. Utilizing the geographic location associated with such user-generated content, the digital map updating service identifies one or more digital map “tiles”, which are updated to include new user-generated content and capable applications on client devices can be notified directly of such new user-generated content if they are accessing the relevant tiles. Additionally, data mining can be performed and deductions of events from data mining can be indicated in the digital map in the same manner.

Abstract: In a system facilitating the calibration of a map-point grid for an indoor location, the grid includes several map points, each having a radio frequency (RF) data fingerprint associated therewith. RF data are received from a device associated with a user, and a map point is identified or determined based on, at least in part, the received RF data. A reliability of a fingerprint to be associated with the map point is computed based on, at least in part, a comparison of a parameter associated with the map point with reference data associated with the indoor location such as topology of the location, and speed and orientation of the user. A fingerprint is associated with the first map point based on, at least in part, the first RF data and the computed reliability. The computation of the reliability may also be based on additional RF data and location determination based thereon and/or user feedback. An existing fingerprint may be adjusted based on the received RF data.

Abstract: Systems and methods are disclosed herein for determining a user's location within an indoor environment. In particular, the system receives a location request including a set of radio frequency signal data collected by a mobile device inside of an indoor environment. Using this data set, the system first selects a map from a plurality of maps stored in a map database. The system then processes the data to identify the user's location on the selected map. The system uses yield information associated with the received signals in determining the map that the user is on, the user's location on the map, or both the map and the user's location to filter out transient signals and identify those signals that are reliably indicative of the user's location.

Abstract: Methods to improve the performance of passive coherent location by non-reliance on a direct view of the signal source are described. Passive Coherent Location, or PCL, has become a promising technology as more computer-processing power has become generally available. Basically, most PCL techniques rely on comparing signal sources with their reflections from an object in order to determine the location of the object. However, this requires line of sight access from the receiver system to the signal source which may not always be practical and may limit the performance of the system overall. The techniques described herein do not require line of sight to the transmitter sources.

Abstract: The present invention provides a method of unsupervised learning and location for tracking users in a wireless communication system. One embodiment of the method includes forming a signal map of a geographic area using unlabeled values of one or more signals so that the signal map relates locations in the geographic area to values of the signal(s).

Abstract: A system for indicating the relative direction of a target object or location as determined from the current position of a wireless communication device. The system employs Direction of Arrival determination using an antenna array for indicating the direction of a target device and includes facilities to activate a location-indicating transmission in a target device, the ability to request that a location-indicating transmission be activated in a remote target device, relevant information reception from a target device and the display of all potential target devices within effective transmission range of the wireless communication device.

Abstract: A system for indicating the relative direction of a target object or location as determined from the current position of a wireless communication device. The system employs Direction of Arrival determination using an antenna array for indicating the direction of a target device and includes facilities to activate a location-indicating transmission in a target device, the ability to request that a location-indicating transmission be activated in a remote target device, relevant information reception from a target device and the display of all potential target devices within effective transmission range of the wireless communication device.

Abstract: Methods and apparatus are provided for determining a position of a vehicle with respect to a terrain. The method comprises accumulating data received from at least one sensor device regarding the occupancy of a spatial region between the vehicle and a first geographic region of the terrain, generating an evidence grid that describes the occupancy of the spatial region, identifying the position of the first geographic region of the terrain based on the evidence grid and previously compiled reference data, and determining the position of the vehicle based on the position of the first geographic region of the terrain with respect to the previously compiled reference data.

Abstract: Direction based pointing services are enabled for a portable electronic device including a positional component for receiving positional information as a function of a location of the portable electronic device, a directional component that outputs direction information as a function of an orientation of the portable electronic device and a location based engine that processes the positional information and the direction information to determine points of interest relative to the portable electronic device as a function of at least the positional information and the direction information. A set of scenarios with respect to movable endpoints of interest in the system emerge.