Abstract: A vehicle intersection monitoring method includes exchanging host and remote vehicle information including information pertaining to host and remote vehicle locations and headings, respectively, and determining whether the host and remote vehicles are travelling on converging paths based on the host vehicle and/or remote vehicle information. The method further includes determining a possibility of the host and remote vehicles contacting each other at a contact location based on host and remote vehicle travel times from the host vehicle and remote vehicle locations, respectively, to the contact location that is determined based on the host and remove vehicle information, determining a threshold value based on a current moving state of the host vehicle while the possibility of the host and remote vehicles contacting each other exists, and evaluating whether to perform a threat mitigation operation based on a condition of the host vehicle in relation to the threshold value.

Abstract: A vehicle intersection monitoring method includes exchanging host vehicle information and remote vehicle information between a host vehicle and a remote vehicle, with the host vehicle information including information pertaining to a host vehicle location, a host vehicle heading and a host vehicle intended next maneuver and the remote vehicle information including information pertaining to a remote vehicle location, a remote vehicle heading and a remote vehicle intended next maneuver. The method further includes identifying a road intersection relating to the host vehicle heading and the remote vehicle heading, selecting an intersection scenario from a plurality of intersection scenarios based on the host vehicle information and the remote vehicle information, and monitoring, by operation of a processor, a location relationship between the host vehicle and the remote vehicle according to an algorithm that is determined based on the selected intersection scenario.

Abstract: A vehicle intersection warning method is provided. The method comprises exchanging host vehicle information and remote vehicle information between a host vehicle and a remote vehicle, determining a presence of a road intersection based on at least one of the host vehicle information and the remote vehicle information. determining, by operation of a processor, whether a possibility of contact between the host vehicle and the remote vehicle exists proximate the intersection based on the exchanged host vehicle information and remote vehicle information, and evaluating an operating condition of a brake of the host vehicle while the possibility of contact exists to determine a type of warning to provide to the host vehicle.

Abstract: A vehicle intersection monitoring method includes exchanging host vehicle information and remote vehicle information between a host vehicle and a remote vehicle, identifying a road intersection based on at least one of the host vehicle information and the remote vehicle information, and selecting an intersection scenario from a plurality of intersection scenarios based on the host vehicle information and the remote vehicle information. The method further includes monitoring, by operation of a processor, a location relationship between the host vehicle and the remote vehicle according to an algorithm that is determined based on the selected intersection scenario, to determine whether a possibility of contact between the host vehicle and the remote vehicle exists proximate to the intersection, and performing a threat mitigation operation while the possibility of contact exists.

Abstract: A method for monitoring human activity using an inertial sensor includes continuously determining an orientation of the inertial sensor, assigning a dominant axis, updating the dominant axis as the orientation of the inertial sensor changes, and counting periodic human motions by monitoring accelerations relative to the dominant axis.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: A method and apparatus for detecting bad signals at a global positioning system (GPS) enabled device are described. In one embodiment, the GPS enabled device includes one or more inertial sensors to provide acceleration measurements for the GPS enabled device, and a GPS receiver to receive positioning data for the GPS enabled device. The GPS enabled device may also include a comparison logic to predict a position of the GPS enabled device from the acceleration measurements, and determine whether the received positioning data is within a confidence interval of the prediction.

Abstract: A method or apparatus to provide an improved headset. The headset includes at least one sensor. The headset further includes a configuration logic to configure the headset based on the position of the headset on the user's head.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: A mobile device monitors accelerations using one or more inertial sensors. A user activity is identified based on the accelerations. A first estimation is made of a user activity statistic associated with the user activity based on the accelerations. Location information is obtained by one or more location based sensors. A second estimation is made of the user activity statistic based on the location information. The user activity statistic is calculated based on the first estimation and the second estimation.

Abstract: An electrode for effective ozone production in an electrochemical cell uses a modified electrode design which adopts a novel catalytic component. The catalytic component has a number of elements selected from various metals and metalloids, and is applied to a substrate in multiple coatings or layers. The catalytic component forms a catalytic surface which is at least partially disrupted by the presence of an element which is relatively inactive with respect to oxygen evolution.

Abstract: A method for monitoring human activity using an inertial sensor includes obtaining acceleration measurement data from an inertial sensor disposed in eyewear. The acceleration measurement data is processed to determine a user activity statistic. The user activity statistic includes at least one of a current user activity, periodic human motion count, total distance traveled, vertical distance traveled, current speed and average speed.

Abstract: A method for monitoring human activity using an inertial sensor includes continuously determining an orientation of the inertial sensor, assigning a dominant axis, updating the dominant axis as the orientation of the inertial sensor changes, and counting periodic human motions by monitoring accelerations relative to the dominant axis.

Abstract: A device comprising a motion context logic that receives data from at least one motion sensor is described. The motion context logic determines a user's motion context. Context based action logic manages the device based on the user's motion context.

Abstract: An electrochemical device including: (a) a semiconductor layer, wherein the semiconductor is silicon or silicon carbide, and where the layer has a thickness from 1 to 1000 ?m; (b) a TiO2 layer on the semiconductor layer, where the layer may include an alkaline earth oxide MO up to an amount where the layer is MtiO3, and where the layer has a thickness from 5 nm to 1 mm; (c) a grid of inert metal on the TiO2 layer, arranged so as to be able to apply a electric field across the TiO2 layer; and (d) an ohmic contact on the semiconductor layer.

Abstract: A method and apparatus for determining when a device is placed in a high ambient motion environment (HAME). The method includes receiving sensor data, and based on the sensor data determining if the device has been placed in the HAME. When placement in the HAME is detected, the method further includes putting the device in a HAME mode. In one embodiment, putting the device in the HAME mode includes locking user input features.

Abstract: A personal electronic device determines its orientation by performing a number of operations. The personal electronic device determines one or more sample periods and creates rolling averages of accelerations for a plurality of axes over the one or more sample periods. The personal electronic device then identifies current values for the rolling averages of accelerations along each of the plurality of axes, wherein the current values indicate a gravitational influence and assigns a dominant axis based upon the current values.

Abstract: A method for monitoring human activity using an inertial sensor includes monitoring accelerations from an inertial sensor disposed in a chest strap. The accelerations are processed to determine one or more acceleration statistics. The acceleration statistics are formatted to a generic format understandable by a plurality of devices. The formatted acceleration statistics are then transmitted.

Abstract: A method comprises determining an idle sample value for a dominant axis of a device in an idle state. The method further comprises registering a motion of the device, and evaluating the motion. The method further comprises waking up the device when the analysis of the motion indicates a change in the dominant axis of the device and/or a level of acceleration beyond a threshold.