Abstract: An indoor positioning system and method that correlates map locations to respective wireless access point (AP) fingerprints, and wherein each wireless AP fingerprint is a plurality of wireless AP signal measurements associated with the correlated map location. The method includes receiving position-inference data associated with a user; determining a probable location inside the building based on the position-inference data; receiving wireless AP signal measurements detected by a wireless device associated with the user; associating the probable location with the wireless device based on the association between the position-inference data and the user of the wireless device; and updating the wireless AP fingerprint correlated to the probable location using the received wireless AP signal measurements. The method and system use crowd-sourcing to build and refine the wireless AP fingerprints.

Abstract: In some examples, a query including signal values providing measures of signals between a first wireless device and corresponding access points is received. Access points are ranked for the query based on sorting the signal values. Similarity values are computed, using the ranking, between the query and respective fingerprints of signal values collected at a plurality of locations in an area, each signal value of the signal values in the fingerprints providing a measure of a signal between at least one wireless device at a location of the plurality of locations and a respective access point of the access points. A location of the first wireless device is determined based on the computed similarity values.

Abstract: A method of determining room occupancy of a room in a facility having an indoor positioning system with wireless access point fingerprints each correlated to a location in the facility. The method may include receiving a request from a computing device for a room occupancy assessment associated with the room. It may further include obtaining location data that correlates to the location of one or more people from the indoor positioning system and determining from the location data associated with the room whether the room is occupied. The determination of whether the room is occupied is then sent to the computing device.

Abstract: A method of determining room occupancy of a room in a facility having an indoor positioning system with wireless access point fingerprints each correlated to a location in the facility. The method may include receiving a request from a computing device for a room occupancy assessment associated with the room. It may further include obtaining location data that correlates to the locations of wireless devices associated with one or more people from the indoor positioning system and determining based on the location data whether the room is occupied. The determination of whether the room is occupied is then sent to the computing device.

Abstract: In some examples, a query including signal values providing measures of signals between a first wireless device and corresponding access points is received. Access points are ranked for the query based on sorting the signal values. Similarity values are computed, using the ranking, between the query and respective fingerprints of signal values collected at a plurality of locations in an area, each signal value of the signal values in the fingerprints providing a measure of a signal between at least one wireless device at a location of the plurality of locations and a respective access point of the access points. A location of the first wireless device is determined based on the computed similarity values.

Abstract: A method of determining room occupancy of a room in a facility having an indoor positioning system with wireless access point fingerprints each correlated to a location in the facility. The method may include receiving a request from a computing device for a room occupancy assessment associated with the room. It may further include obtaining location data that correlates to the locations of wireless devices associated with one or more people from the indoor positioning system and determining based on the location data whether the room is occupied. The determination of whether the room is occupied is then sent to the computing device.

Abstract: A method of determining room occupancy of a room in a facility having an indoor positioning system with wireless access point fingerprints each correlated to a location in the facility. The method may include receiving a request from a computing device for a room occupancy assessment associated with the room. It may further include obtaining location data that correlates to the location of one or more people from the indoor positioning system and determining from the location data associated with the room whether the room is occupied. The determination of whether the room is occupied is then sent to the computing device.

Abstract: An indoor positioning system and method that correlates map locations to respective wireless access point (AP) fingerprints, and wherein each wireless AP fingerprint is a plurality of wireless AP signal measurements associated with the correlated map location. The method includes receiving position-inference data associated with a user; determining a probable location inside the building based on the position-inference data; receiving wireless AP signal measurements detected by a wireless device associated with the user; associating the probable location with the wireless device based on the association between the position-inference data and the user of the wireless device; and updating the wireless AP fingerprint correlated to the probable location using the received wireless AP signal measurements. The method and system use crowd-sourcing to build and refine the wireless AP fingerprints.

Abstract: An indoor positioning system and method that correlates map locations to respective wireless access point (AP) fingerprints, and wherein each wireless AP fingerprint is a plurality of wireless AP signal measurements associated with the correlated map location. The method includes receiving position-inference data associated with a user; determining a probable location inside the building based on the position-inference data; receiving wireless AP signal measurements detected by a wireless device associated with the user; associating the probable location with the wireless device based on the association between the position-inference data and the user of the wireless device; and updating the wireless AP fingerprint correlated to the probable location using the received wireless AP signal measurements. The method and system use crowd-sourcing to build and refine the wireless AP fingerprints.