Abstract: Methods, apparatuses and/or articles of manufacture are provided that selectively distribute location based service content for use by mobile devices with regard to certain indoor environment(s). In one example implementation, one or more computing devices generate data files that collectively represent an initial content for use by a mobile device with regard to an indoor environment, wherein at least one of the data files is generated based, at least in part, on one or more distribution schemes relating to the indoor environment. The one or more computing devices selectively initiates transmission of an indication to one or more mobile devices identifying that a shared data file corresponding to a seeded data file may be obtained from a first mobile device. The first mobile device and/or one or more of the other mobile devices may be identified based, at least in part, on the one or more distribution schemes.

Abstract: Various methods, apparatuses and articles of manufacture may be implemented for use in one or more computing platforms to adaptively provide and/or obtain indoor navigation assistance data (INAD) update(s) for use by a mobile device. An INAD update may, for example, comprise a subset of INAD available for an indoor environment. Such a subset may be determined based, at least in part, on a bounded region in an electronic map of the indoor environment. Such a bounded region may, for example, have a shape and/or a size based, at least in part, on at least one parameter indicative of a motion state of the mobile device.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile device to allow the mobile device to obtain map information associated with at least a portion of an indoor environment comprising a plurality of regions. The mobile device may also obtain additional measurement information associated with at least the portion of the indoor environment, wherein the additional measurement information is based, at least in part, on previously obtained estimated position measurement information associated with a plurality of mobile devices within the indoor environment. The mobile device may determine whether access to at least one of the plurality of regions is either feasible or infeasible to a user associated with the mobile device. The determination may be based, at least in part, on the map information and the additional measurement information.

Abstract: Some aspects relate to developing a personalized location feasibility heatmap, representing motion information related to a particular device/user, and combining that personalized heatmap with general location feasibility information, pertinent to a number of users. The personalized locational feasibility heatmap may be formed using self-sourced motion data, static and dynamic data, such as contacts and appointments, context, and data derived from or available through social networks. Heatmaps may be associated with respective areas; within areas, regions may be defined that are to be considered for self-source data, which have random data, or which are especially relevant to personalized heatmaps. Personalized heatmaps may be shared among users, and used as a basis for further modification. Other aspects, such as using personalized heatmaps relevant to one area to produce a personalized heatmap for a different area are disclosed.

Abstract: Techniques are provided which may be implemented using various methods, apparatuses and/or articles of manufacture to provide or otherwise support mobile device positioning. The mobile device positioning may be based, at least in part, on one or more perceived routability constraints that may or may not affect actual movement of a mobile device within an indoor environment.

Abstract: Methods, apparatuses and/or articles of manufacture are provided that selectively distribute location based service content for use by mobile devices with regard to certain indoor environment(s). In one example implementation, one or more computing devices generate data files that collectively represent an initial content for use by a mobile device with regard to an indoor environment, wherein at least one of the data files is generated based, at least in part, on one or more distribution schemes relating to the indoor environment. The one or more computing devices selectively initiates transmission of an indication to one or more mobile devices identifying that a shared data file corresponding to a seeded data file may be obtained from a first mobile device. The first mobile device and/or one or more of the other mobile devices may be identified based, at least in part, on the one or more distribution schemes.

Abstract: Various methods, apparatuses and articles of manufacture are provided which may be implemented in various devices for use in characterizing a signaling environment in an area of location uncertainty within an indoor structure. In an example, a computing device may obtain at least a portion of a travel log indicative measurements gathered by a mobile device within an area of location uncertainty, and a position fix based, at least in part, on one or more signals received at the mobile device within an area of location certainty. The computing device may, for example, determine an estimated trajectory of the mobile device within at least a portion of the area of location uncertainty within an indoor structure, e.g., leading to the position fix, based, at least in part on at least a portion of the plurality of measurements and the position fix.

Abstract: Techniques for provided which may be implemented using various methods and/or apparatuses in a mobile device to allow for speech recognition based, at least in part, on context information associated with at least a portion of at least one navigational region, e.g., associated with a location of the mobile device. A speech recognition capability may, for example, be provided with a set of audible samples based, at least in part, on the context information. Such speech recognition capability may be provided by the mobile device and/or by one or more other devices coupled to the mobile device.

Abstract: Apparatuses, methods, systems and computer-readable media for generating a visibility map in determination of a user's location are presented. Some embodiments may identify a point of interest (POI) whose location is predefined on a map. The map may be an overhead map, similar to a map found at a shopping mall or a 3-dimensional map. Embodiments may then determine a plurality of vectors emanating from the POI. The vectors may be representative of lines of sight from the POI on the map. Embodiments may then integrate at least some of the plurality of vectors to calculate an area on the map representative of a visibility map.

Abstract: Apparatuses, methods, systems and computer-readable media for using visibility maps of identified points of interest (POIs) to determine a user's location are presented. Users may determine their locations without relying on a global positioning technique, such as GPS or A-GPS. A user may instead rely on POIs identifiable from the user's visual field of view, and determine position based on the common area visible to each identified POI.

Abstract: Apparatuses, methods, systems and computer-readable media for determining a hallway edge and/or room entrance of a map are presented. Embodiments may identify a point of interest (POI) on the map indicative of the room entrance. Embodiments may determine a first edge of the map close to the POI and representative of at least a first wall on the map, and may determine a second edge of the map close to the POI and representative of at least a second wall on the map. Embodiments may then perform a rank analysis of the first edge and second edge based on at least one characteristic of the first edge and one characteristic of the second edge, and may determine the orientation of the room entrance and/or the determine the hallway edge of the POI based at least in part on the rank analysis.

Abstract: A mobile computing device comprising an application network use metric monitoring agent providing a network use metric usage for one or more mobile computing device applications and a network plan interface, wherein, a monetary cost is associated with the network use metric usage for the one or more mobile computing device applications.

Abstract: A system for the collection, aggregation and analysis of location based crowdsourcing data includes a server that server that controls the distribution of crowdsourcing requests and workloads to a plurality of external mobile platforms. The server receives crowdsourcing queries from multiple parties and provides measurement requests to the mobile platforms, e.g., based on the location of the mobile platforms. Upon receipt of the measured contextual data from the mobile platforms, the server may distribute information, such as the raw measured contextual data or an analysis of the measured contextual data, to the appropriate requesting parties in a secure manner. The mobile platform may receive a plurality of measurement requests from a remote server, wherein the plurality of measurement requests are based on crowdsourcing queries from a plurality of parties. The mobile platform may measure and provide to the remote server contextual data in response to the plurality of measurement requests.

Abstract: Methods and apparatuses are provided which may be implemented in various devices having one or more computing platforms to obtain signaling characteristics for one or more transmitting devices. The signaling characteristics may, for example, be based, at least in part, on one or more signals received by a receiving device from the transmitting device(s), and may comprise at least a received signal strength measurement and a propagation time measurement. Such methods and apparatuses may further be implemented to determine whether a mobile station is to use or not use positioning data for one or more transmitting device(s) in a positioning function based, at least in part, on the received signal strength measurement and the propagation time measurement.

Abstract: A mobile computing device, comprising processing components, memory components, a wireless receiver/transmitter, and an agent stored in the memory components. The agent is adapted to determine a pattern in data received and requested by the mobile computing device, determine a pattern in a location of the mobile computing device, and request to receive data based on (i) the pattern in the data received and requested by the mobile computing device, and (ii) the pattern in the location of the mobile computing device.

Abstract: An embodiment relates to characterizing a signaling environment by gathering a plurality of measurements, generated during a period of time, in response to a determination that a mobile device is within an area of location uncertainty. Such an example mobile device may generate a position fix, e.g., at or subsequent to an end of the period of time, based, at least in part, on one or more signals received at the mobile device within an area of location certainty; and in response to a determination that it is to report a travel history for at least a portion of the area of location uncertainty, generate a travel log based, at least in part, on the plurality of measurements and the position fix, and transmit at least a portion of the travel log to one or more external devices.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses to allow for expected signal data for a region of space within a structure to be encoded and transmitted to a mobile station. The mobile station may decode the encoded version and use the resulting decoded version to support signal-based position estimation.

Abstract: Techniques are provided which may be implemented in various methods and/or apparatuses that support information dissemination for and/or within location based systems to control information dissemination.

Abstract: Disclosed are systems, methods and techniques for classifying portions of an area depicted in a digitally encoded map. For example, features in a digitally encoded map may be extracted to identify a component area at least partially bounded by a perimeter formed by structures. One or more egress segments in the perimeter may be identified and characterized. The component area may then be classified based, at least in part, on a proportionality of a length of the egress segment to a size of at least one dimension of the component area.

Abstract: Systems and methods for delivering social network updates from popular entities to receiver devices via broadcast or multicast networks obtain updates from highly popular entities. Updates may be assembled by a server crawling social network sites. To enable selective reception, the obtained updates may be broadcast/multicast according to a schedule that is communicated to receiver devices in advance, such as a catalog file. Receiver devices receive the catalog file and use the included information to selectively receive updates that are relevant to a user of the receiver device. Updates received from broadcasts or multicasts are cached in memory of the receiver device. When a user requests access a particular social network entity on the receiver device, that request may be satisfied by accessing a social network updates cached on the receiver device. Broadcasting and/or multicasting highly popular social network updates may relieve burdens on unicast networks.