Abstract: This disclosure provides devices, computer programs and methods for determining a motion direction. In one aspect, a mobile device includes one or more sensors configured to measure acceleration data in each of one or more directions. The mobile device also includes one or more processors and a memory storing instructions that, when executed by the one or more processors, implement a motion direction estimation module. The motion direction estimation module is configured to identify a use case for the mobile device based at least in part on the acceleration data. The motion direction estimation module also is configured to select a set of one or more parameters based on the identified use case. The motion direction estimation module is further configured to calculate an estimated motion direction of the mobile device based on the acceleration data and the respective set of parameters corresponding to the identified use case.

Abstract: This disclosure provides devices, computer programs and methods for determining a motion direction. In one aspect, a mobile device includes sensors for measuring acceleration data. The mobile device also includes a processor and a memory that implement a motion direction estimation module configured to determine a primary axis of motion. The motion direction estimation module also determines a motion direction along the primary axis. The determination includes fitting the acceleration data, or data derived therefrom, to a bimodal distribution. A first peak of the bimodal distribution corresponds to a first motion direction along the primary axis, and a second peak corresponds to a second motion direction opposite the first. The motion direction estimation module is configured to estimate the motion direction based on the bimodal distribution. In some implementations, the motion direction estimation module selects the motion direction corresponding to the higher of the peaks as the estimated motion direction.

Abstract: This disclosure provides devices, computer programs, and methods for estimating reliability metrics. In one aspect, a mobile device includes sensors for measuring acceleration data, a processor, and a memory storing instructions that implement a plurality of modules. The modules include a motion direction estimation module for estimating a motion direction based on the acceleration data. The modules also include a reliability metric computation module for estimating reliability metrics. For example, the reliability metric computation module can estimate a first reliability metric based on a process used to estimate the motion direction, a second reliability metric based on a measure of stability of the device, and a third reliability metric based on a measure of consistency in the estimated motion direction over a period.

Abstract: A communications system can provide methods of dynamically interleaving streams, including methods for dynamically introducing greater amounts of interleaving as a stream is transmitted independently of any source block structure to spread out losses or errors in the channel over a much larger period of time within the original stream than if interleaving were not introduced, provide superior protection against packet loss or packet corruption when used with FEC coding, provide superior protection against network jitter, and allow content zapping time and the content transition time to be reduced to a minimum and minimal content transition times. Streams may be partitioned into sub-streams, delivering the sub-streams to receivers along different paths through a network and receiving concurrently different sub-streams at a receiver sent from potentially different servers.

Abstract: Systems, apparatus, and methods for estimating the location of a wireless device include determining the location estimate based on accessible access points and without using a received signal strength indicator. In some embodiments, the location estimate is determined based on a center of mass of the accessible access points, a closest accessible access point, a center of mass of N access points, an average angle of the accessible access points, or a Parzen density of accessible access point distributions.

Abstract: Techniques are provided for adaptively sampling orientation sensors in positioning systems based on location (e.g., map) data. Embodiments can enable a device to use location, direction, and/or location information to anticipate an expected change in motion. The embodiments can then identify and prioritize a number of sampling strategies to alter sampling rates of orientation sensors, and implement at least one strategy, based on priority.

Abstract: Methods and apparatuses for modeling characteristics of a venue are disclosed. The method comprises identifying a set of constraints associated with the venue, determining a plurality of paths to be traveled by one or more mobile devices in accordance with the set of constraints, directing the one or more mobile devices to navigate the venue using the plurality of paths, receiving data collected by the one or more mobile devices, and generating a model of the venue using the data collected by the one or more mobile devices.

Abstract: Various methods, apparatuses and/or articles of manufacture are provided which may be implemented to estimate a trajectory of a mobile device within an indoor environment. In some embodiments, the trajectory may be estimated without the use of any signal-based positioning information. For example, a mobile device may estimate such a trajectory based, at least in part, on one or more sensor measurements obtained at the mobile device, and further affect the estimated trajectory based, at least in part, on one or more objects identified in an electronic map of the indoor environment.

Abstract: Systems, apparatus and methods for generating a heatmap are presented. A first floor plan is received. A device detects stair lines in the first floor plan and reduces the stair lines from the first floor plan to form a second floor plan. A heatmap is generated based on the second floor plan. The device includes a transceiver to receive the first floor plan and a processor, coupled to the transceiver, to detect stair lines in the first floor plan, reduce the stair lines in the first floor plan to form a second floor plan, and generate the heatmap from the second floor plan.

Abstract: An estimated position of a pedestrian is obtained by detecting, by a movement sensor on the pedestrian, whether the pedestrian is moving, propagating particles based on a predictive pedestrian movement model upon detecting that the pedestrian is moving, and updating, by a wireless network, the position of the pedestrian upon failure by the movement sensor to detect that the pedestrian is moving. The movement sensor may be a pedometer. The wireless network may be a local wireless network such as a Wi-Fi network.

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: A method for processing assistance data associated with positioning of a mobile device as described herein includes estimating an initial location of the mobile device within an area; designating the initial location of the mobile device as a focal point; retrieving a subset of hierarchical assistance data as a function of the focal point; and generating a multi-level assistance data structure for the area centered at the focal point.

Abstract: In one implementation, a method may comprise: storing a user profile indicative of at least one attribute of a user of a mobile station; determining a measurement value based, at least in part, on a signal from at least one sensor on the mobile station; and estimating a location of the mobile station based, at least in part, on an association of the at least one attribute and the measurement value with a context parameter map database.

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, 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: Various techniques are provided which may be implemented as methods, apparatuses and articles of manufacture for use by a mobile device or one or more computing devices to provide for or otherwise support motion state based mobile device positioning. In an example, a method may be implemented at a mobile device to identify two or more subsets of grid points corresponding to an electronic map representing a particular environment, select one of the two or more subsets of grid points for use in position estimation based, at least in part, on a motion state of the mobile device, and determine an estimated position of the mobile device based, at least in part, on the selected subset of grid points.

Abstract: In one implementation, a method may comprise: storing a user profile indicative of at least one attribute of a user of a mobile station; determining a measurement value based, at least in part, on a signal from at least one sensor on the mobile station; and estimating a location of the mobile station based, at least in part, on an association of the at least one attribute and the measurement value with a context parameter map database.

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: A block-request streaming system provides for improvements in the user experience and bandwidth efficiency of such systems, typically using an ingestion system that generates data in a form to be served by a conventional file server (HTTP, FTP, or the like), wherein the ingestion system intakes content and prepares it as files or data elements to be served by the file server, which might or might not include a cache. A client device can be adapted to take advantage of the ingestion process as well as including improvements that make for a better presentation independent of the ingestion process. In the block-request streaming system, the an ingestion system generates data according to erasure codes and the client device, through various selection and timing of requests for media data and redundant data, can efficiently decode media to provide for presentations.

Abstract: Methods and apparatuses for modeling characteristics of a venue are disclosed. The method comprises identifying a set of constraints associated with the venue, determining a plurality of paths to be traveled by one or more mobile devices in accordance with the set of constraints, directing the one or more mobile devices to navigate the venue using the plurality of paths, receiving data collected by the one or more mobile devices, and generating a model of the venue using the data collected by the one or more mobile devices.