Abstract: A method is described including storing reference vector data corresponding to user gestures at a plurality of neurons at pattern matching hardware, receiving real time signals from the sensor array and performing gesture recognition using the pattern matching hardware to compare incoming vector data corresponding to the real time signals with the reference vector data.

Abstract: Embodiments of the present disclosure describe methods, apparatuses, and systems related to a user equipment having virtual mobile terminals. Other embodiments may be described and/or claimed.

Abstract: Embodiments of a mobile station and method for Wi-Fi scan scheduling and power adaption for low-power indoor location are generally described herein. In some embodiments, the mobile station may identify channels, beacon timing and rough signal strength levels of nearby access points (APs) from at least one of a previous full-channel scan or a Wi-Fi fingerprint database and may configure receiver sensitivity based on the rough signal strength levels for receipt of subsequent beacons. The mobile station may wake-up from a low-power state to receive beacons for the nearby access points on the identified channels at times based on the identified beacon timing. The received signal strength indicators (RSSIs) levels of the received beacons may be used for location determination.

Abstract: A method of determining landmarks includes receiving, at a computing system, a plurality of potential landmark measurements and corresponding signal measurements. The method further includes determining, at the computing system, a plurality of landmark candidates from the plurality of potential landmark candidates and corresponding signal measurements. The method further includes determining a normalized signal distance between a first signal measurement corresponding to a first landmark candidate of the plurality of landmark candidates and a second signal measurement corresponding to a second landmark candidate of the plurality of landmark candidates. The method further includes determining, at the computing system, that the first landmark corresponds to the second landmark based on the normalized signal distance.

Abstract: Methods and systems to permit multiple virtual machines (VMs) to separately configure and access a physical resource, substantially outside of a virtual machine monitor (VMM) that hosts the VMs. Each of a plurality of virtual machines (VMs) may access and configure the physical device through corresponding instances of a device driver that exposes controllable functions of the physical device within the VMs. VM-specific configuration parameters and connection information may be maintained for each of the VMs, outside of a VMM, to reconfigure or virtualize the physical device for each of the VMs with the corresponding VM-specific configuration parameters and connection information. Physical device virtualization augmentation features may be implemented within a combination of a physical device controller and a host device driver that executes outside of the VM.

Abstract: A card edge connector includes an elongated insultive housing extending along a longitudinal direction, a plurality of conductive terminals retained in the insultive housing and an ejector retained at one longitudinal end of the insultive housing. The insultive housing defines a central slot recessed from an upper surface thereof for receiving a memory module. The ejector defines a base portion and a pair of gripping portions extending from the base portion along a vertical direction perpendicular to the longitudinal direction, said two gripping portions have an accommodating slot located therebetween and running therethrough in the longitudinal direction for receiving the memory module and a latching means located in the accommodating slot for locking the memory module. The latching means defines an opening communicating with said accommodating slot, a first lump portion and a second lump portion separated from each other by the opening.

Abstract: Implementations described herein provide a magnetic ring which enables both lateral and azimuthal tuning of the plasma in a processing chamber. In one embodiment, the magnetic ring has a body. The body has a top surface and a bottom surface, and a plurality of magnets are disposed on the bottom surface of the body.

Abstract: Embodiments may comprise logic such as hardware and/or code to adaptively control the transmission power for a wireless channel. In many embodiments, adaptively controlling the transmission power may reduce or, in some embodiments, minimize interference between the wireless display (WiDi) transmissions and other transmissions such as multimedia content streaming over another wireless channel to the notebook via a second generation (2G) channel, third generation (3G) channel, or a future long term evolution (LTE) channel.

Abstract: Certain embodiments herein are directed to reducing variations in received signal strength indicator (RSSI) measurements that may be received by a wireless device over a network, such as a WiFi network including one or more access points. A signal sent from an access point may be received by a user device, where channel estimation results associated with the received signal may be analyzed to determine a more accurate location of the user device. The received signal may be converted to at least one of the time domain and the frequency domain, in which signal components associated with the received signal may be identified based on a determination that the signal components may be associated with multipath fading or other types of interference. Such identified signal components, whether in the frequency domain or the time domain) may be excluded from a determination of a signal strength measurement that may in turn be used to identify the location of the user device.

Abstract: Technologies for context-based management of wearable computing devices include a mobile computing device and a wearable computing device. The wearable computing device generates sensor data indicative of a location context of the wearable computing device and transmits the sensor data to the mobile computing device. The mobile computing device generates local sensor data indicative of a location context of the wearable computing device and fuses the local sensor data with the sensor data received from the wearable computing device. The mobile computing device determines a context of the wearable computing device based on the fused sensor data. The mobile computing device determines whether an adjustment to the functionality of the wearable computing device is required based on the determined context. The mobile computing device manages the functionality of the wearable computing device in response to determining that an adjustment to the functionality is required.

Abstract: Disclosed herein are techniques to update a wireless fingerprint location database. According to such techniques, an update server updates a location database based on trajectories of a number of computing devices. The trajectories corresponding to sensor data collected by the computing devices, the sensor data including at least indication of RSSIs and inertial measurements. The RSSIs corresponding to wireless APs within an interior of a structure and represented in the location database.

Abstract: Aspects of the disclosure relate to location sensing based at least on magnetic measurements within an environment. In certain aspects, the location sensing contemplates several environment and/or operational conditions of an electronic device that conducts the sensing, including soft iron variations, motion characteristic of the device, and/or the elevation of the device. In other aspects, magnetic mappings for the environment can be generated in accordance with one or more of such conditions, and accurate location sensing can be achieved based at least on such mappings and magnetic measurements at a location of the device within the environment.

Abstract: This document discloses one or more systems, apparatuses, methods, etc. for detecting precise indoor location of a portable wireless device based on a WiFi simultaneous localization and mapping (SLAM) algorithm that implements spatial and temporal coherence. In an implementation, a SLAM algorithm includes WiFi similarities and inertial navigational system (INS) measurements data as location estimates (i.e., references) for the spatial and temporal coherences implementations to constitute the WiFi SLAM algorithm.

Abstract: A method of detecting a revisit position includes receiving at a computing system a plurality of position data points, each of the plurality of position data points including a signal scan measurement. The method farther includes calculating a first signal distance between a first signal scan measurement corresponding to a first position data point of the plurality of position data points and a second signal scan measurement corresponding to a second position data point of the plurality of position data points. The method further includes determining that the first signal distance is less than a first threshold, that the first signal distance is a local minimum for the first position data point, and the first signal distance is a local minimum for the second position data point. The method further includes, based on the determining, identifying the first and second position data points as revisit points.

Abstract: This disclosure describes systems, methods, and computer-readable media related to employing adaptive multi-feature semantic location sensing methods to estimate the semantic location of a mobile device. A set of wireless data scans associated with one or more access points at one or more locations may be received. One or more features of the one or more locations may be identified, based upon the set of wireless data scans wherein the features are associated with one or more location metrics. At least one of the one or more access points may be determined to be associated with a first location based upon, at least in part, the set of wireless data scans. A first classifier for the first location may be generated based upon, at least in part, the one or more features and the associated access points.

Abstract: A card edge connector includes an elongated insultive housing extending along a longitudinal direction, a plurality of conductive terminals retained in the insultive housing and an ejector retained at one longitudinal end of the insultive housing. The insultive housing defines a central slot recessed from an upper surface thereof for receiving a memory module. The ejector defines a base portion and a pair of gripping portions extending from the base portion along a vertical direction perpendicular to the longitudinal direction, said two gripping portions have an accommodating slot located therebetween and running therethrough in the longitudinal direction for receiving the memory module and a latching means located in the accommodating slot for locking the memory module.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier to may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: An apparatus may include a memory to store a first radio signal strength indicator (RSSI) data set comprising first data entries for RSSI detected from a multiplicity of transmission sources by a first wireless device of a first device type, and to store a second RSSI data set comprising second data entries for RSSI detected from the multiplicity of transmission sources by a second wireless device of a second device type; and a cross-device radio calibration engine to receive the first RSSI data set and second RSSI data set and generate a cross-calibrated RSSI function comprising a function that reduces differences between the first RSSI data set and the second RSSI data set. Other embodiments are disclosed and claimed.

Abstract: A method of generating wireless signal information includes receiving relative movement data generated by sensors and wireless signal data generated by a wireless signal module at a computing system, the sensors and module for detecting wireless signals located in a portable electronic device (PED). The method further includes generating landmark information at a landmark detection module based on the relative movement data, the sensor data and the wireless signal data. The method further includes generating a plurality of Simultaneous Localization and Mapping (SLAM) estimate locations based on the landmark information and the relative movement data at a SLAM optimization engine. The method further includes assembling a first database of locations and corresponding wireless signal strength and access points. The method further includes generating additional information concerning locations and wireless signal information based on the first database.

Abstract: A method of determining landmarks includes receiving, at a computing system, a plurality of potential landmark measurements and corresponding signal measurements. The method further includes determining, at the computing system, a plurality of landmark candidates from the plurality of potential landmark candidates and corresponding signal measurements. The method further includes determining a normalized signal distance between a first signal measurement corresponding to a first landmark candidate of the plurality of landmark candidates and a second signal measurement corresponding to a second landmark candidate of the plurality of landmark candidates. The method further includes determining, at the computing system, that the first landmark corresponds to the second landmark based on the normalized signal distance.