A medical apparatus, method, or storage medium to perform monitoring a sensor of the medical apparatus to obtain a sensor reading, performing impact detection based on the sensor reading, generating an impact profile based on the impact detection, characterizing the impact detection, and responding to the impact detection.

An acquisition imaging system is described herein that acquires multiple images from multiple imagers where each are sent to a single processor/controller, resulting in a single, resultant image providing a detailed field of view. The system is comprised of multiple sets of images taken by multiple sensors, strategically placed to acquire multiple perspectives of an image field. Each sensor is packaged with digitization, compression and communication components in an imager to allow for the transfer of the image to a processor/controller system controller. The system's controller acts as the network interface, power supply and centralized management for processing information, specifically the analytics. The present invention has applications in surveillance, event classification systems, indexed archival storage, real-time and post facto image content analytics, future filtering vectors; ad hoc querying, automatic queries, and multiple query languages.

The present invention relates to: a device and method for assessing the risk of lonely death using a door open sensor; and a LED system for assessing the risk of lonely death. More specifically, the device for assessing the risk of lonely death using a door open sensor, according to one embodiment of the present invention, comprises: a door open recognition unit which recognizes that a door has been opened; an outside activity time calculation unit which, when the door is recognized to have been opened, and activity of a human body is not detected from the time point when the door is recognized to have been opened to a predetermined time, determines an outside activity state and calculates an outside activity duration which is the time during which the outside activity state is maintained; an inside activity time calculation unit which, when activity of the human body is detected at a first time point, and activity of the human body is detected again at a second time point which includes an idle detection period after the first time point, determines an inside activity state and calculates an inside activity duration which is the time during which the inside activity state is maintained; and a risk assessment unit which assesses the risk of lonely death by generating a probability distribution model on the basis of the outside activity durations and inside activity durations calculated during a first period, and applying, to the probability distribution model, the outside activity duration and inside activity duration calculated after the first period.

Various embodiments of a jobsite keep out zone system are provided. The system includes one or more detectors configured to determine when an intruder is within and/or is approaching a protected area. In response to the determination, one or more alarms and/or notifications are generated.

According to an aspect, there is provided a computer-implemented method for evaluating movement of a subject. The method comprises obtaining a first signal representing measurements of the subject from a first sensor; processing the first signal to determine a quality measure for the first signal; determining if the determined quality measure meets a first criterion; if the determined quality measure meets the first criterion, determining values for a plurality of features in a first feature set, the first feature set comprising one or more first features to be determined from the first signal, and evaluating the movement of the subject based on the values for the plurality of features in the first feature set; and, if the determined quality measure does not meet the first criterion, determining values for one or more features in a second feature set, wherein the one or more features in the second feature set are a subset of the plurality of features in the first feature set and the second feature set does not include at least one of the one or more first features in the first feature set, and evaluating the movement of the subject based on the values for the one or more features in the second feature set. A corresponding apparatus and computer program product are also provided.

A wireless device, network node and network management node are disclosed. The wireless device, network node and management node may cooperate to facilitate monitoring of the wireless device and detection of an incident involving a user of the wireless device. The wireless device is operable to connect to a network and comprises processing circuitry configured to cause the wireless device to enter an enhanced monitoring mode, receive, from a network node, configuration information specifying a measuring configuration for measuring signal strength, and measure signal strength in accordance with the received configuration information.

Provided is a safety checking system that can accurately determine an abnormality of a user or a rearing animal using a lockable space section and can respond to an abnormality, if occurs, more safely, more reliably, and promptly. This invention includes: obtaining, via a management device, sensing data from a sensor detecting biological information of the user or rearing animal using the lockable space section; detecting, via the management device, a significant difference between the sensing data and sensing data obtained in a normal condition or a threshold thereof; requesting, upon detection of the significant difference as necessary, dispatch of an emergency agency to the lockable space section; confirming, via the management device, whether the emergency agency having received the request has arrived at the lockable space section; and causing the management device to issue a signal for carrying out emergency unlocking of a lock in the lockable space section.

A monitoring system includes a sensor data acquisition device configured to acquire information on an activity of a user; a data analyzer configured to analyze the acquired information on the activity of the user and detect occurrence of an abnormality in the activity of the user; an imaging controller configured to instruct an imaging terminal device that captures an image of the activity of the user to start capturing an image of the user and record imaging data in a case where the occurrence of the abnormality is detected by the data analyzer; an imaging data acquisition device configured to acquire the imaging data recorded by the imaging terminal device; a data storage device configured to store the imaging data acquired by the imaging data acquisition device; and an output device configured to output the imaging data.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

A system, apparatus, and method to identify incentives in multi-party interactions where such incentives are represented by specification value pairs and through the use of game theory, machine leaning, pattern identification and recognition and/or digital twins in any arrangement, misalignment of such specification value pairs may be identified and responded to in manner that can avoid and/or mitigate the impact of such misalignments on the interactions of those parties, including in pursuit of the reduction of fraud or other undesirable behaviors within at least one system.