In a general aspect, a set of observed frequency-domain channel responses is filtered to remove noise or distortions that are not related to changes in the physical environment. In some aspects, for each frequency-domain channel response, a time-domain channel response is generated based on the frequency-domain channel response; and a filtered time-domain channel response is generated based on a constraint applied to the time-domain channel response. Additionally, a reconstructed frequency-domain channel response is generated based on the filtered time-domain channel response. An error signal is also generated, and a determination is made as to whether the error signal satisfies a criterion. The error signal can be indicative of a difference between the frequency-domain channel response and the reconstructed frequency-domain channel response. In response to each of the error signals satisfying the criterion, motion of an object in a space is detected based on the set of frequency-domain channel responses.

Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. The method also includes performing front-back detection, performing stationary node detection, performing angle of arrival (AoA) error correction, and performing field of view (FOV) filtering. Performing indoor localization and tracking of the plurality of other wireless electronic devices includes providing an indication of a physical location of the plurality of other wireless electronic devices within the indoor environment.

A method of tracking a location of a mobile device based on measurements of beacon signals transmitted between the mobile device and wireless reference nodes of a localization network. The method comprises: detecting motion of the mobile device; repeatedly applying a tracking algorithm to track the location of the mobile device, wherein the tracking algorithm is configured to estimate a current location of the mobile device by taking into account both (A) a current set of measurements of the beacon signals transmitted between the mobile device and at least some of the reference nodes and (B) one or more past sets of said measurements transmitted between the mobile device and at least some of the reference nodes; and adapting the tracking algorithm by, in dependence on the detected motion of the mobile device, adapting a relative significance attributed to the one or more sets of past measurements relative to the current set of measurements and by adapting the time-density of the beacon signals in dependence on the detected motion of the mobile device.

A device and method for controlling the volume of played media through loudspeakers on a golf cart driven by a user with a Bluetooth connected device. A location receiver on the golf cart continuously signals a computing component a signal associated with a location of the golf cart on a golf course. If the golf cart is determined to be located in a volume control area, the volume of sound produced by an amplifier engaged with loudspeakers on the cart is reduced to a predetermined level for that control area. Other control areas can cause the playing of advertisements from the loudspeakers on the cart as it passes into them.

A device and method for controlling the volume of played media through loudspeakers on a golf cart driven by a user with a Bluetooth connected device. A location receiver on the golf cart continuously signals a computing component a signal associated with a location of the golf cart on a golf course. If the golf cart is determined to be located in a volume control area, the volume of sound produced by an amplifier engaged with loudspeakers on the cart is reduced to a predetermined level for that control area. Other control areas can cause the playing of advertisements from the loudspeakers on the cart as it passes into them.

A GPS-enabled cellular electronic device is operated in an indoor mode. An increase in strength of a cellular signal is detected at the GPS-enabled cellular electronic device. Responsive at least to the increase in cellular signal strength, the GPS-enabled cellular electronic device is transitioned to an outdoor testing mode. Detecting is carried out to determine whether movement of the GPS-enabled cellular electronic device occurs during the outdoor testing mode. If so, the GPS-enabled cellular electronic device is transitioned to an outdoor mode.

Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

Systems, methods, devices, computer readable media, and other various embodiments are described for location management processes in wearable electronic devices. One embodiment involves pairing a client device with a wearable device, capturing a first client location fix at a first time using the first application and location circuitry of the client device. The client device then receives content from the wearable device, where the content is associated with a content capture time and location state data. The client device then updates a location based on the available data to reconcile the different sets of location data. In some embodiments, additional sensor data, such as data from an accelerometer, is used is used to determine which location data is more accurate for certain content.

A method and an apparatus for detecting motion activity of an object are suggested. The apparatus includes an RSSI detecting unit for obtaining the RSSI values of wireless signals, a first calculating unit for calculating a first indication relating to the status of movement/stillness of an object as a function of the Standard Deviation (STDEV) value of the RSSI values of the wireless signals over a first threshold, a second calculating unit for calculating a second indication relating to the speed of movement of the object as a function of the number of times that the RSSI values cross a second threshold from down to up during a time period and a combining unit for outputting a third indication of the motion activity of the object by combining the first and the second indications.

A Global Navigation Satellite System (GNSS) chipset embedded within the cellular device is accessed. The GNSS chipset calculates raw pseudoranges. The raw pseudoranges are extracted from the GNSS chipset for processing elsewhere in the cellular device outside of the GNSS chipset. A position fix is determined based on the raw pseudoranges. Locally measured cellular device movement information is obtained from at least one sensor that is in a known physical relationship with the cellular device. The locally measured cellular device movement information is applied to the position fix.