Abstract: There is provided a system for detecting a drowning person within a water body, the system comprising (i) sonar sensors for forming a three dimensional grid of sonar waves within the water body, the grid having three dimensional grid cells; (ii) a movement path tracing unit adapted to be connected to the sonar sensors for tracing a movement path of a person within the water body by determining a sequence of successive grid cells crossed by the person within the grid in the course of said movement path, the determination of the successive grid cells being made based on detected propagation delays of the sonar waves forming the grid; and (iii) a drowning detection unit adapted to be connected to the movement path tracing unit for analyzing the movement path of the person and issuing an alarm when the movement path of the person is indicative of a drowning person movement path. There is also provided a kit and method for detecting a drowning person within a water body.

Abstract: One or more sets of anchor points may be assigned to one or more trajectories of a portable device by scoring each anchor point set with respect to each trajectory. The score for an anchor point set may be determined by cumulating the differences between each anchor point in the set with its closest trajectory segment.

Abstract: This disclosure is about a method and apparatus for estimating heading misalignment between a device and a person, where the device/apparatus comprises an optical sensor, the optical sensor capable of capturing an image of the person. At least one physical feature of the person is extracted from the image. A misalignment angle is estimated using the at least one physical feature of the person extracted from the image.

Abstract: This disclosure relates to heading misalignment estimation with a portable device and more specifically to estimating misalignment between a portable device having a sensor assembly and a platform transporting the portable device when the platform is undergoing motion having periodic characteristics. In one aspect, a suitable method includes obtaining inertial sensor data for the portable device and determining an effective frequency characteristic of the inertial sensor data representing the motion having periodic characteristics. The inertial sensor data may be processed using the determined frequency characteristic so that a heading misalignment may be estimated between the heading of the portable device and the platform.

Abstract: An apparatus and method are disclosed for user and moving vehicle detection in which sensor data for a portable device is processed to determine whether the portable device is in a moving vehicle. Following a determination the portable device is in a moving vehicle, the sensor data is to characterize an association between the user and the portable device to determine whether the portable device is connected to the user. If the user is connected to the portable device, it is then determined if the portable device is being held in hand. If the portable device is held in hand, it is then determined if the user is operating the moving vehicle. Output from an image sensor of the portable device may be used in determining if the user is the operator.

Abstract: This disclosure relates to heading misalignment estimation with a portable device and more specifically to estimating misalignment between a portable device having a sensor assembly and a platform transporting the portable device when the platform is undergoing motion having periodic characteristics. In one aspect, a suitable method includes obtaining inertial sensor data for the portable device and determining an effective frequency characteristic of the inertial sensor data representing the motion having periodic characteristics. The inertial sensor data may be processed using the determined frequency characteristic so that a heading misalignment may be estimated between the heading of the portable device and the platform.

Abstract: This disclosure is about a method and apparatus for estimating heading misalignment between a device and a person, where the device/apparatus comprises an optical sensor, the optical sensor capable of capturing an image of the person. At least one physical feature of the person is extracted from the image. A misalignment angle is estimated using the at least one physical feature of the person extracted from the image.

Abstract: There is provided a system for detecting a drowning person within a water body, the system comprising (i) sonar sensors for forming a three dimensional grid of sonar waves within the water body, the grid having three dimensional grid cells; (ii) a movement path tracing unit adapted to be connected to the sonar sensors for tracing a movement path of a person within the water body by determining a sequence of successive grid cells crossed by the person within the grid in the course of said movement path, the determination of the successive grid cells being made based on detected propagation delays of the sonar waves forming the grid; and (iii) a drowning detection unit adapted to be connected to the movement path tracing unit for analysing the movement path of the person and issuing an alarm when the movement path of the person is indicative of a drowning person movement path. There is also provided a kit and method for detecting a drowning person within a water body.

Abstract: Systems and methods are disclosed for categorizing a device use case for on foot motion with a portable device. Motion sensor data corresponding to motion of the portable device may be obtained, such as from a sensor assembly of the device. The motions sensor data is processed. Further, a use case characteristic may be determined from the processed and/or raw motion sensor data, an effective frequency may be determined from the processed and/or raw motion sensor data and/or an Eigen use case may be determined. The device use case may then be classified using the processed and/or raw motion sensor data and at least one of the use case characteristic, the effective frequency and the Eigen use case.

Abstract: The present disclosure relates to a method and apparatus for determining the misalignment between a device and a pedestrian, wherein the pedestrian can carry, hold, or use the device in different orientations in a constrained or unconstrained manner, and wherein the device comprises a sensor assembly. The sensors in the device may be for example, accelerometers, gyroscopes, magnetometers, barometer among others. The sensors have a corresponding frame for the sensors' axes. The misalignment between the device and the pedestrian means the misalignment between the frame of the sensor assembly in the device and the frame of the pedestrian. The present method and apparatus can work whether in the presence or in the absence of absolute navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).