Abstract: Various methods, apparatuses and/or articles of manufacture are provided which may be implemented to support mobile device positioning through the use of adaptive passive scanning and/or adaptive active probing techniques. For example, a mobile device may acquire signals from wireless transceivers, identify wireless transceivers based, at least in part, on the acquired signal(s), determine a received signal strength measurement for each of the wireless transceivers based, at least in part, on the acquired signal(s), and determine a transmission power of a probe signal to be transmitted to at least one of the wireless transceivers based, at least in part, on at least one of the received signal strength measurements.

Abstract: Methods, systems and devices for communicating behavior analysis information using an application programming interface (API) may include receiving data/behavior models from one or more third-party network servers in a client module of a mobile device and communicating the information to a behavior observation and analysis system via a behavior API. The third-party servers may be maintained by one or more partner companies that have domain expertise in a particular area or technology that is relevant for identifying, analyzing, classifying, and/or reacting to mobile device behaviors, but that do not have access to (or knowledge of) the various mobile device sub-systems, interfaces, configurations, modules, processes, drivers, and/or hardware systems required to generate effective data/behavior models suitable for use by the mobile device. The behavior API and/or client modules allow the third-party server to quickly and efficiently access the most relevant and important information on the mobile device.

Abstract: Methods, systems and devices for generating data models in a communication system may include applying machine learning techniques to generate a first family of classifier models using a boosted decision tree to describe a corpus of behavior vectors. Such behavior vectors may be used to compute a weight value for one or more nodes of the boosted decision tree. Classifier models factors having a high probably of determining whether a mobile device behavior is benign or not benign based on the computed weight values may be identified. Computing weight values for boosted decision tree nodes may include computing an exclusive answer ratio for generated boosted decision tree nodes. The identified factors may be applied to the corpus of behavior vectors to generate a second family of classifier models identifying fewer factors and data points relevant for enabling the mobile device to determine whether a behavior is benign or not benign.

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: Disclosed is a method for position determination, including altering or generating at least one radio heatmap value in a collection of radio heatmap values, the altering or generating based, at least in part, on a measurement of one or more characteristics of wireless signals received by a receiver at a first wireless network access point and transmitted by a transmitter at a second wireless network access point; and transmitting at least a portion of the collection of radio heatmap values including the altered or generated radio heatmap value to a mobile station as positioning assistance 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: Methods and apparatus for determining the quality of service of a network are disclosed. A disclosed methodology for determining quality of service for a network includes determining at least two metrics reflective of network parameters in at least two different protocol layers of the communication network. The metrics are then compared with respective threshold values, and quality of service for the network is determined based on the comparison of the metrics with the respective threshold values. Corresponding apparatus executing the methodology are also disclosed.

Abstract: An example method for updating a wireless signal model includes: measuring a distance from a mobile station to each wireless access point, of multiple wireless access points, based upon a wireless signal model; calculating a position of the mobile station based upon the measured distance; determining a computed distance to each wireless access point based upon the calculated position of the mobile station; updating the wireless signal model based upon the measured and computed distances to each wireless access point; and determining whether the wireless signal model has converged.

Abstract: Methods, apparatuses, systems, and computer-readable media for integrating sensation functionalities into a mobile device using a haptic sleeve are presented. According to one or more aspects of the disclosure, a computing device may receive, via a haptic sleeve, sensation input captured by one or more haptic components of the haptic sleeve. Subsequently, the computing device may store haptic data corresponding to the received sensation input. For example, in storing such haptic data, the computing device may store information describing one or more electrical signals received via the one or more haptic components of the haptic sleeve during a period of time corresponding to a particular event, and this stored information may reflect various characteristics of the sensation input received by the computing device in connection with the particular event, such as the magnitude(s), position(s), duration, and/or type(s) of sensation(s) captured during the period of time.

Abstract: Methods, apparatuses, systems, and computer-readable media for using haptic technologies to provide enhanced media experiences are presented. According to one or more aspects of the disclosure, a computing device, such as a smart phone, tablet computer, or portable media player, may establish a connection with a local content receiver. Subsequently, the computing device may receive, from the local content receiver, a sensation data signal that specifies one or more haptic effects to be provided at a particular time relative to playback of a media content item received by the local content receiver. Thereafter, the computing device may provide the one or more haptic effects.

Abstract: Methods, apparatuses, systems, and computer-readable media for providing sensation enhanced messaging are presented. According to one or more aspects, a computing device may receive an electronic message, and the electronic message may include sender-specified haptic data that identifies at least one non-vibratory haptic sensation to be provided to a recipient of the electronic message. Subsequently, the computing device may cause haptic feedback to be provided to a user based on the sender-specified haptic data. In at least one arrangement, the at least one non-vibratory haptic sensation may include one or more pressure characteristics, texture characteristics, wetness characteristics, adhesion characteristics, thermal characteristics, and/or movement characteristics.

Abstract: Methods, apparatuses, systems, and computer-readable media for integrating sensation functionalities into social networking services and/or applications are presented. According to one or more aspects, a computing device may receive a status update associated with a social networking service, and the status update may include haptic data. Subsequently, the computing device may cause haptic feedback to be provided to at least one user of the social networking service, based at least in part on the haptic data and the at least one user's relationship with a sender of the status update within the social networking service. In at least one arrangement, first haptic feedback is provided to the user if the user is within a first group of users, and second haptic feedback different from the first haptic feedback is provided to the user if the user is within a second group of users different from the first group of users.

Abstract: Techniques for determining the position of a mobile wireless device are provided. The techniques include a method for determining the position of a mobile wireless device that includes receiving signal characteristics of a signal received from the mobile wireless device at a wireless access point of a Wireless Local Area Network (WLAN), determining an orientation of the mobile wireless device relative to the wireless access point, determining a compensation factor based on the orientation of the mobile wireless device relative to the wireless access point, and determining an estimated position of the mobile wireless device based at least in part on the compensation factor. The compensation factor compensates for the effect of user occlusion on at least one characteristic of the signal received from the mobile wireless device.

Abstract: An apparatus including a processing system configured to construct a coding matrix from channel state information and encode a plurality of spatial streams with the coding matrix for transmission to one or more nodes. A method for performing the process is also disclosed herein.

Abstract: Certain aspects of the present disclosure provide a protocol for SDMA communication between an access point and multiple wireless apparatuses, such as single antenna stations.

Abstract: Certain aspects of the present disclosure relate to a technique for decreasing a probability of post-backoff collisions that occur during uplink transmissions from multiple user stations (STAs) following completion of downlink transmission from an access point to the STAs.

Abstract: Certain embodiments provide a method for scheduling packet transmissions in a wireless communications with stations that support spatial division multiple access (SDMA) transmissions. The method generally includes receiving channel state training signals from a plurality of wireless network nodes, constructing a schedule for uplink and downlink packet transmissions for the nodes based on the channel state training signals, and communicating the schedule to the nodes.

Abstract: An apparatus for wireless communications is disclosed that includes a processing system configured to generate a first data packet and thereafter a second data packet, wherein each of the first and second data packets including a header and data, the processing system being further configured to generate an error correction code associated with the first data packet and embed the error correction code in the header of the second data packet.

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: The subject matter disclosed herein relates to a system and method for receiving, by a first mobile station, a signal transmitted from a second mobile station and addressed to a communication device (e.g., a communication device having a known location). The signal comprises a location estimate for the second mobile station. A range from the first mobile station to the second mobile station is estimated based at least in part on a measured signal strength of the received signal.