Abstract: A vehicle contact avoidance system includes a detection system, a warning system, and a controller. The detection system is configured to detect a remote obstacle in proximity to a host vehicle equipped with the vehicle contact avoidance system, including information related to at least one of a speed, a direction and a distance of the remote obstacle relative to the host vehicle. The warning system is configured to emit a warning sound to notify a driver of the host vehicle of imminent contact between the host vehicle and the remote obstacle. The controller is programmed to determine whether contact between the host vehicle and the remote obstacle is imminent based of the information supplied to the controller by the detection system, and programmed to cause the warning system to emit the warning sound. The warning sound includes a non-speech portion and a speech portion.

Abstract: An on-board vehicle control system and method employ a storage device that stores information representing a plurality of boundary points of a boundary circumscribing an area of interest in which the boundary points are defined by two prescribed parameters, and a controller that obtains at least one condition point defined by current values of the prescribed parameters, determines a first boundary point of the boundary points that is closest to the condition point, and generates geometric data representing a geometric relationship between the first boundary point, the condition point and a second boundary point of the boundary points. The controller performs further calculations taking into account the geometric data to generate coordinate condition data, and determines whether a warning condition exists by determining whether the condition point lies within the area of interest based on a comparison between coordinates of the condition point and the coordinate condition data.

Abstract: An mobile device to monitor human activity using multiple sensors comprising a processing unit to provide a first estimation user activity data based on data from a first sensor, the first estimation having a first accuracy estimation, and to provide a second estimation of user activity data based on data from a second sensor, the second estimation having a second accuracy estimation, and the processor to calculate the user activity statistic based on the first estimation and the second estimation, wherein the calculated user activity statistic is a result of a weighted combination of the first estimation and the second estimation.

Abstract: An on-board vehicle communication system and method employ a storage device, a communication device and a controller. The storage device is configured to store a plurality of security certificates. The communication device is configured to receive external information that is external to a host vehicle equipped with the on-board vehicle communication system. The controller is configured to determine whether to begin a security certificate replenishment process to attempt to receive additional security certificates from at least one source that is external of the host vehicle based on the received external information, upon an amount of security certificates stored in the storage device decreasing below a first prescribed threshold.

Abstract: An on-board vehicle control system and method employ a storage device that stores information representing a plurality of boundary points of a boundary circumscribing an area of interest in which the boundary points are defined by two prescribed parameters, and a controller that obtains at least one condition point defined by current values of the prescribed parameters, determines a first boundary point of the boundary points that is closest to the condition point, and generates geometric data representing a geometric relationship between the first boundary point, the condition point and a second boundary point of the boundary points. The controller performs further calculations taking into account the geometric data to generate coordinate condition data, and determines whether a warning condition exists by determining whether the condition point lies within the area of interest based on a comparison between coordinates of the condition point and the coordinate condition data.

Abstract: An electronic device monitors accelerations using a motion sensor. The electronic device determines a current motion state based on the accelerations. The electronic device identifies a plurality of applications that subscribe to a motion state identification service and notifies a subset of the applications of the current motion state, the subset meeting notification criteria associated with the current motion state.

Abstract: An on-board vehicle control system and method employ a storage device that stores information representing a plurality of boundary points of a boundary that circumscribes an area of interest, and a controller that obtains a vehicle location of a vehicle of interest, determines a first boundary point closest to the vehicle location, and generates data representing a geometric relationship between the first boundary point, the vehicle location and a second boundary point. The controller calculates reference point data representing a reference point based on the data representing the geometric relationship, determines coordinate condition data based on an angle between a predetermined direction and a reference line connecting between the first boundary point and the reference point, and determines whether the vehicle location lies within the area of interest based on a comparison between geographic coordinates of the vehicle location and the coordinate condition data.

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 contact avoidance system includes a detection system, a warning system, and a controller. The detection system is configured to detect a remote obstacle in proximity to a host vehicle equipped with the vehicle contact avoidance system, including information related to at least one of a speed, a direction and a distance of the remote obstacle relative to the host vehicle. The warning system is configured to emit a warning sound to notify a driver of the host vehicle of imminent contact between the host vehicle and the remote obstacle. The controller is programmed to determine whether contact between the host vehicle and the remote obstacle is imminent based of the information supplied to the controller by the detection system, and programmed to cause the warning system to emit the warning sound. The warning sound includes a non-speech portion and a speech portion.

Abstract: A vehicle turn monitoring method comprises determining an intent for a host vehicle to execute a left turn before the host vehicle begins to execute the left turn, monitoring a location relationship between the host vehicle and a remote vehicle before the host vehicle begins to execute the left turn, and evaluating a travelling condition of the host vehicle before the host vehicle begins to execute the left turn. The method further includes determining, by operation of a processor, whether to perform a threat mitigation operation before the host vehicle begins to execute the left turn based on the location relationship and the travelling condition.

Abstract: An electronic device monitors accelerations using an inertial sensor. The electronic device identifies a current motion state based on the accelerations. The electronic device determines an application that subscribes to a motion state identification service and notifies the application of the current motion state.

Abstract: A vehicle collision monitoring method comprises preparing a host vehicle message including information pertaining to a host vehicle including a host vehicle location and a host vehicle heading, receiving a remote vehicle message including information pertaining to a remote vehicle including a remote vehicle location and a remote vehicle heading, and evaluating, using a controller, whether the host vehicle heading and the remote vehicle heading are converging paths. The evaluating includes segregating an area surrounding the host vehicle location into a plurality of sectors, determining which of the sectors is a remote vehicle sector including the remote vehicle location, and determining whether the host vehicle heading and the remote vehicle heading are converging paths based on the host vehicle location, the host vehicle heading, the remote vehicle location, the remote vehicle heading and a characteristic relating to the sector that includes the remote vehicle location.

Abstract: A method or apparatus for monitoring human activity using an inertial sensor is described. The method includes monitoring accelerations, and identifying a current user activity from a plurality of user activities based on the accelerations. In one embodiment, each of the plurality of user activities is associated with one of a plurality of types of periodic human motions that are detectable by the portable electronic device, and wherein the identification of the current user activity is made based on detecting two or more instances of the periodic human motion associated with the user activity. The method further includes counting periodic human motions appropriate to the current user activity.

Abstract: A vehicle collision monitoring method comprises preparing a host vehicle message including information pertaining to a host vehicle including a host vehicle location and a host vehicle heading, receiving a remote vehicle message including information pertaining to a remote vehicle including a remote vehicle location and a remote vehicle heading, and evaluating, using a controller, whether the host vehicle heading and the remote vehicle heading are converging paths. The evaluating includes segregating an area surrounding the host vehicle location into a plurality of sectors, determining which of the sectors is a remote vehicle sector including the remote vehicle location, and determining whether the host vehicle heading and the remote vehicle heading are converging paths based on the host vehicle location, the host vehicle heading, the remote vehicle location, the remote vehicle heading and a characteristic relating to the sector that includes the remote vehicle location.

Abstract: A method for monitoring human activity using an inertial sensor includes monitoring accelerations from an inertial sensor integrated into a garment. The accelerations are processed to determine one or more acceleration statistics, and transmit the acceleration statistics.

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.

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 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 vehicle turn monitoring method comprises determining an intent for a host vehicle to execute a left turn before the host vehicle begins to execute the left turn, monitoring a location relationship between the host vehicle and a remote vehicle before the host vehicle begins to execute the left turn, and evaluating a travelling condition of the host vehicle before the host vehicle begins to execute the left turn. The method further includes determining, by operation of a processor, whether to perform a threat mitigation operation before the host vehicle begins to execute the left turn based on the location relationship and the travelling condition.

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.