Abstract: In one example, a system includes one or more personal protective equipment (PPE) devices each configured to be worn by a worker, the PPE devices each including one or more sensors that generate activity data indicative of activities of workers operating within one or more work environments. The system also includes a computing device, the computing device configured to: identify, based at least on the activity data, a plurality of clusters of one or more entities, wherein each entity of the entities is associated with one or more of the workers; and output an indication of a difference between performance by a target entity with respect to safety events and performance by the cluster that includes the target entity with respect to safety events.

Abstract: A body-worn tracking device (BWTD) includes a global navigation satellite system (GNSS) device, a cellular communication unit, at least one processor, and at least one memory device. The at least one memory device includes instructions that, when executed by the at least one processor, cause the at least one processor to determine whether the BWTD is located on board an aircraft. Execution of the instructions further causes the at least one processor to, responsive to determining that the BWTD is located on board the aircraft: disable the GNSS device and the cellular communication unit; and temporarily refrain from generating an alert that indicates a current location of the BWTD cannot be determined.

Abstract: The present subject matter enables early or real-time detection of anomalies in electric networks. In various applications, the system detects anomalies, such as electricity theft, electricity surge, etc. It solves the difficult-to-detect problems in an electrical network, where anomalies like electricity theft or electrical surge may not be found until it has raised numerous concerns or complaints, or has created a significant impact on infrastructure functionality, service quality, or cost. In addition, the present subject matter decreases the requirement for large number of sensors and provides more cost effective and scalable solutions. The present subject matter provides a method for determining where a detected anomaly is occurring within an electrical network. Variations of the present subject matter include anomaly identification systems for addressing anomalies in large networks.

Abstract: A body-worn tracking device (BWTD) includes a global navigation satellite system (GNSS) device, a cellular communication unit, at least one processor, and at least one memory device. The at least one memory device includes instructions that, when executed by the at least one processor, cause the at least one processor to determine whether the BWTD is located on board an aircraft. Execution of the instructions further causes the at least one processor to, responsive to determining that the BWTD is located on board the aircraft: disable the GNSS device and the cellular communication unit; and temporarily refrain from generating an alert that indicates a current location of the BWTD cannot be determined.

Abstract: In one example, a system includes one or more personal protective equipment (PPE) devices each configured to be worn by a worker, the PPE devices each including one or more sensors that generate activity data indicative of activities of workers operating within one or more work environments. The system also includes a computing device, the computing device configured to: identify, based at least on the activity data, a plurality of clusters of one or more entities, wherein each entity of the entities is associated with one or more of the workers; and output an indication of a difference between performance by a target entity with respect to safety events and performance by the cluster that includes the target entity with respect to safety events.

Abstract: This disclosure provides systems and methods for monitoring respiratory parameters of a person (e.g., a user). In some examples, a system for respiratory monitoring includes a sensor and a computing device. The sensor monitors at least one respiratory related parameter. The computing device is connected to the sensor. The computing device includes a processor. The processor receives a feature vector having a plurality of features, each respective feature associated with a respective respiratory related parameter. The processor also receives from the sensor the at least one respective respiratory related parameter. The processor determines a first breathing state based on the feature vector.

Abstract: A position sensing system for measuring a position of a moving object includes a first magnetic sensor configured to measure an intensity of a magnetic field produced by the moving object. The system includes a controller configured to estimate a position of the moving object based on a nonlinear model of the magnetic field produced by the moving object as a function of position around the moving object, and based on the measured intensity of the magnetic field produced by the moving object.

Abstract: A position sensing system for measuring a position of a moving object includes a first magnetic sensor configured to measure an intensity of a magnetic field produced by the moving object. The system includes a controller configured to estimate a position of the moving object based on a nonlinear model of the magnetic field produced by the moving object as a function of position around the moving object, and based on the measured intensity of the magnetic field produced by the moving object.

Abstract: A position sensing system for measuring a position of a moving object includes a first magnetic sensor configured to measure an intensity of a magnetic field produced by the moving object. The system includes a controller configured to estimate a position of the moving object based on a nonlinear model of the magnetic field produced by the moving object as a function of position around the moving object, and based on the measured intensity of the magnetic field produced by the moving object.

Abstract: A position sensing system for measuring a position of a moving object includes a first magnetic sensor configured to measure an intensity of a magnetic field produced by the moving object. The system includes a controller configured to estimate a position of the moving object based on a nonlinear model of the magnetic field produced by the moving object as a function of position around the moving object, and based on the measured intensity of the magnetic field produced by the moving object.