An apparatus, system and method surrounding the sensing, recording and communicating information pertaining to users providing a portable identification and diagnostic reporting system configured with data storage, sensors, processing, and transmission means to notify intended recipients of identification, sensed, collected and prewritten user data. Communication of such data, stored on local devices and/or cloud based storage, and executed through means such as UHF, nearfield and other wireless communication protocols. The apparatus, system and method are intended for use in scenarios including but not limited to social, medical and emergency applications.

An apparatus, system and method surrounding the sensing, recording and communicating information pertaining to users providing a portable identification and diagnostic reporting system configured with data storage, sensors, processing, and transmission means to notify intended recipients of identification, sensed, collected and prewritten user data. Communication of such data, stored on local devices and/or cloud based storage, and executed through means such as UHF, nearfield and other wireless communication protocols. The apparatus, system and method are intended for use in scenarios including but not limited to social, medical and emergency applications.

A bicycle controller is configured to communicate with a first bicycle component that transmits a first wireless signal and a second bicycle component that transmits a second wireless signal. The bicycle controller includes an interface configured to receive the first wireless signal and the second wireless signal. The first wireless signal has a center frequency that is a first frequency. The second wireless signal has a center frequency that is a second frequency. The second frequency differs from the first frequency.

An alert system includes an audio speaker or video display, and a communications unit. The communications unit is retained and supported by a power and data unit, and is configured to access data sources that include at least one of schedule information, environmental information, news reports, fire/police alerts, weather statements/information, and user-specific information, and to communicate with the audio speaker based upon the accessed data sources. The communications unit is configured to network with a computing device associated with a first user. The communications unit is configured to access the one or more data sources as defined by user-specific parameters associated with the first user. The first user is identified based upon a user ID associated with the networked computing device. The communications unit is configured to direct the audio speaker or the video display to issue an alert in response to the one or more accessed data sources.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Audience monitoring systems and related methods are described herein. An example audience monitoring system includes a beacon to be disposed proximate a media presentation device. The beacon is to transmit a ping signal. The system also includes a portable metering device to be carried by a person. The portable metering device includes a microphone to receive an audio signal and a processor to determine a distance value indicative of a distance between the portable metering device and the beacon based on the ping signal.

Audience monitoring systems and related methods are described herein. An example audience monitoring system includes a beacon to be disposed proximate a media presentation device. The beacon is to transmit a ping signal. The system also includes a portable metering device to be carried by a person. The portable metering device includes a microphone to receive an audio signal and a processor to determine a distance value indicative of a distance between the portable metering device and the beacon based on the ping signal.

A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.

A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.