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:
A block-request streaming system provides for low-latency streaming of a media presentation. A plurality of media segments are generated according to an encoding protocol. Each media segment includes a random access point. A plurality of media fragments are encoded according to the same protocol. The media segments are aggregated from a plurality of media fragments.
Abstract:
Methods, systems, computer-readable media, and apparatuses for determining a position indicator are presented. In some embodiments, position data indicating a position of a mobile device is obtained. A position indicator is determined based on at least one region of a map. The position of the mobile device is located within the at least one region. The position indicator indicates a map-feature-dependent region of the map. The position indicator is provided.
Abstract:
Aspects of the disclosure are related to a method for adjusting a wireless signal scanning rate based on a pedestrian dead-reckoning (PDR) reliability level estimate. An example method adjusting a wireless signal scanning rate based on a pedestrian dead-reckoning (PDR) reliability level estimate comprises estimating a PDR reliability level, determining a wireless signal scanning rate based at least in part on the estimated PDR reliability level, wherein wireless signal scanning is performed to obtain position fixes, and performing the wireless signal scanning at the determined wireless signal scanning rate.
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 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:
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. A client device can be adapted to take advantage of the ingestion process. The client device might be configured to optimize use of resources, given the information available to it from the ingestion system. This may include configurations to determine the sequence, timing and construction of block requests based on monitoring buffer size and rate of change of buffer size, use of variable sized requests, mapping of block requests to underlying transport connections, flexible pipelining of requests, and/or use of whole file requests based on statistical considerations.
Abstract:
Step detection accuracy in mobile devices is increased by determining whether swinging is taking place. According to the invention, swinging can be detected using threshold detection, Eigen analysis, hybrid frequency analysis, and/or gyroscope-based analysis, for example. The determination that swinging is (or may be) occurring can impact how the mobile device reports detected steps for step detection. A count of missteps and/or a level of certainty, based on swing detection, can be provided with a step count.
Abstract:
The position of a mobile device in a wireless network is refined by obtaining statistical samples of particles representing an initial estimated position of the device, obtaining one or more parameters of received signals from a set of one or more access points in the network, locking the set of one or more access points without using one or more additional access points to estimate the position, resampling the particles to obtain a second estimation of the position after locking the first set of one or more access points, and obtaining a refined estimated position based on a comparison of the first and second estimations of the position.
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.