Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

A voice alarm notification device of a fire alarm system, comprising: a network port for receiving an alarm notification signal; an audio file library in which the audio files include audio voice message files; a speaker; a processor unit connected to the network port for processing an alarm notification signal and for selecting one of the audio files from the library to be played through the speaker; and a Bluetooth module for establishing a Bluetooth communication link to the voice alarm notification device, via which link an audio voice file can be received. The device is arranged to add the audio voice file received via the Bluetooth communication link to the library so as to be available for selection by the processor unit when it receives an alarm notification signal.

A system, method, and apparatus for implementing workflows across multiple differing systems and devices are provided herein. During operation a workflow is automatically generated upon the detection of new device capabilities. In particular, a workflow server will detect the presence of new device capabilities in a particular area. The new device capabilities will be analyzed, and an appropriate trigger and action will be determined based on the new device capabilities. The appropriate trigger and action will then be implemented as a newly-created workflow.

In some embodiments, methods and systems are provided for managing emergency notifications and incident reports at a commercial facility. A graphical interface enables a worker associated with a facility to input information regarding an ongoing/impending emergency event, e.g., Active Threat, Acts of Violence, Fire/Explosion, Injury, Power Failure, Missing Child, Severe Weather, Robbery, Hazmat, Bomb Threat, Covid-19, Store Closure, Special Events etc. This information is processed via an analytical engine that evaluates the entered information in view of various business rules in order to identify the appropriate workers to notify, and generates and transmits the notifications to the employees determined to be suitable for receiving a notification. In response to the generation of the emergency notification, an incident report engine evaluates the entered emergency, and automatically generates an incident report, which may be later accessed and/or modified by workers having a suitable employee access level.

A server acts as an event analyzer for a home security or monitoring system. The server receives a signal from a remote third-party server, the signal including data relating to a condition detected by a device at a premises. The server determines whether the remote third-party server corresponds to a preexisting third-party server registration. The server determines whether the device corresponds to a preexisting device registration. When the remote third-party server is determined to correspond to the preexisting third-party server registration and the device is determined to correspond to the preexisting device registration, the server determines whether the condition detected by the device at the premises is an alarm condition. When the condition detected by the device at the premises is determined to be the alarm condition, the server transmits an alarm signal to a central monitoring station.

An apparatus includes a measuring device, a position specifying circuit, and a determining circuit. The measuring device measures a plurality of subjects by radiating a detecting wave toward the plurality of subjects. The position specifying circuit specifies positions of the plurality of subjects on a basis of information obtained by the measuring device. The determining circuit determines at least one of: a next subject suitable as a subject to be visited next by a monitoring person among the plurality of subjects; and a movement path along which the monitoring person moves from a position of the monitoring person to the next subject on a basis of the positions of the plurality of subjects specified by the position specifying circuit. A method performs the operations of the measuring device, and the circuits.

A wireless communication-based casualty reporting, responder-ready emergency application system permits users to notify one or more pre-programmed responders of an emergency event so that an emergency alert can be broadcast to notify the users in the facility/site of the emergency. The system includes a check-in and verification component to provide access with respect to each specific facility/site. The system further includes a data storage provision coupled with the main application and is configured to maintain logs of alert events and other relevant information for future reference to build protocols and check for any patterns. To facilitate these operations, the system is programmed to relay crisis management plans and standard emergency protocols to users within a facility/site when an emergency event arises.

A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals. Decision fusion is used to integrate classification results from feature-based classifier and deep learning AI to reach optimal decision.

A weather alert system having a human interface device that includes a processor and is attached to an attachment member. Disposed within the attachment member is a first antenna that is connected to the human interface device. A second antenna that works as a transceiver is connected to the processor and when a weather radio frequency is received the processor activates a first alarm based on a user's geographic location. In one example the human interface device is a watch and in another it includes an antenna device stored in a vehicle.

Systems, apparatuses, and methods are described for identifying and managing event notifications. An event notification manager may determine whether the received data corresponds to an occurring or a false event. The event notification manager may cause one or more user devices to output an event notification by at least partially interrupting output of other content.