Methods and apparatus for sensor selection for localization and tracking are provided. A method (300) performed at an access point (101, 101a, 101b, 101c, 901, 902, 903) comprises: determining, a detectability of the access point (101, 101a, 101b, 101c, 901, 902, 903) for localization for a target device (102), based on channel state information of a radio link between the target device (102) and the access point (101, 101a, 101b, 101c, 901, 902, 903) (302); and determining whether the access point (101, 101a, 101b, 101c, 901, 902, 903) is to be used for position estimation of the target device (102) or not based on the detectability (304). A localization server (103) may further eliminate access points (101, 101a, 101b, 101c, 901, 902, 903) at poor positions from position estimation, by using a predefined weighted-kernel approach.

A system and method for identifying a person's location at a school, hotel, office, business, restaurant or other venue and tracking the movements of that person during their visit to the venue. One or more wireless virtual beacons communicate with the person's electronic device. The virtual beacons provide the system with real-time data about the person's whereabouts, allowing for the confirmation and tracking of the person at the location. A first non-limiting example of use, include a company that provides food and beverage allowing the person to place an order for food and beverages on their electronic device and having the order delivered to the person at their current location as determined by the system. Another non-limiting example includes a company performing analytics on the time and movement of it's employees and customers.

Systems and methods for wireless location are disclosed. In one aspect, a method for wireless location includes collecting signal strength values from one or more nodes (e.g., mobile devices) in an area over a time interval. The nodes receive wireless signals from one or more other transmitting nodes, where the signal strength values are representative of the signal strengths of the wireless signals. The method further includes normalizing the collected signal strength values and evaluating respective locations within the area of the nodes based on the normalized signal strength values. In a further aspect, the evaluated locations of the nodes may be used to execute an automated light show over the area, by instructing the nodes to display certain color or pattern at their locations in the area.

The present disclosure pertains to utilizing hardware and software to control and record environmental and other data obtained from sensors and other devices, placed throughout a facility, and analyzing and displaying the information in a detailed status report of the environmental conditions inside facility, and once analyzed, the software can provide recommendations to implement measures that increase the efficiency of the facility.

Systems, methods, computer program products, and apparatuses to determine, by a neural network based on training data related to wireless signals exchanged by a device and a plurality of wireless access points in an environment, a respective distance between the device and each wireless access point, receive location data related to a respective location of each wireless access point of the plurality of wireless access points, determine a geometric cost of the neural network based on a geometric cost function, the respective distances, and the received location data, and train a plurality of values of the neural network based on a backpropagation and the determined geometric cost.

The invention relates to a method and a system for position determination of at least one object, in particular inside a building. In a method for position determination of at least one object, at least four transmitters transmit circularly polarized signals and a receiver to be localized receives the circularly polarized signals. At least two and in particular all transmitters transmit periodic signals of different frequencies, these frequencies being closely adjacent.

A method for generating a wireless signal fingerprint database includes: obtaining an initial atmospheric pressure value, in which the initial atmospheric pressure value is an atmospheric pressure value collected when a terminal enters indoors; obtaining periodically a current wireless signal fingerprint and a current atmospheric pressure value collected by the terminal; and determining a floor corresponding to the current wireless signal fingerprint based on the initial atmospheric pressure value and the current atmospheric pressure value, to obtain the wireless signal fingerprint database.

Techniques are disclosed for predictive media streaming using microlocation. Microlocations of a mobile device can be determined by measuring one or more sensor values at one or more times, the one or more sensor values are determined from one or more signals emitted by a corresponding one or more signal sources. Streaming events can be stored at the mobile device. Each streaming event may include a destination device for playing media and a cluster location, the cluster location corresponding to sensor values that are spatially near each other. A selection of a media item is detected and one or more current sensor values are measured. A current cluster location can be identified using the one or more current sensor value. The current cluster location and the streaming events can identify a particular destination device for playing the selected media item.

A wireless device includes an antenna circuit and a controller. The antenna circuit includes a plurality of antennas. Each of the plurality of antennas is configured to surround a reference point and arrange with an equal interval between each other. The controller is coupled to the antenna circuit and configured to compute a strength of a signal of each of the plurality of antennas to choose a plurality of indicated antennas from the plurality of antennas; compute the signal of each two of the plurality of indicated antennas to obtain a plurality of composite signals; and compute a plurality of phase angles according to the plurality of composite signals to compute a positioning angle by using the plurality of phase angles.

Systems, methods, and computer-readable media may determine location-related data for a plurality of access points located in an area in communication with a network by determining that a plurality of access points in a network are associated with a same geographical area including identifying, from among the plurality of access points, a first access point associated with the geographical area, determining first location-related data for the first access point, determining second location-related data for a second access point of the plurality of access points, the second access point being interior to the first access point within the network based at least in part on a determination that the second access point has at least a threshold number of the neighbor access points, and exchanging ranging data indicative of a first relative distance between the first access point and the second access point, the ranging data based at least in part on ranging message exchange measurements.