Abstract: Systems and methods for identifying someone intending to leave a bed or chair generally before or shortly after the bed or chair is exited. These can allow intervention where necessary to prevent some falls before they occur. The systems and methods typically collect and aggregate real-time patient data to detect “attempted bed exits”—attempts made by a patient which indicate that the patient may be attempting to leave the bed or chair and, determine their risk for falling. Where done in real time, a patient making an “attempt” to exit can be stopped before or shortly after an actual exit is made, permitting staff to assist with, or prevent, the exit as necessary.

Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

Abstract: A driving assistance device includes a determining part configured to determine a target relative position with respect to other vehicle, which is traveling in a movement destination lane that is a merging destination or a lane change destination of a host vehicle, for entering the movement destination lane based on a detection result of the other vehicle, and a notification controller configured to output a notification sound, which differs between a case in which acceleration is required for the host vehicle and a case in which deceleration is required for the host vehicle, from a speaker in order to perform an alignment with respect to the target relative position determined by the determining part in an advancing direction of the host vehicle.

Abstract: Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Abstract: A method performed by a computing system includes receiving from a detection system, a plurality of identity tokens. The plurality of identity tokens include different types of identity tokens. The method further includes associating each of the plurality of identity tokens with a node of a graph, incrementing an edge between two nodes of the graph in response to determining that the two identity tokens associated with the two nodes were detected by the first detection system within a detection time window, decrementing the edge between the two nodes in response to determining that one of the identity tokens associated with one of the two nodes is detected within a detection time window without detecting one of the identity tokens associated with the other of the two nodes, and correlating the identity tokens associated with the two nodes based on a value of the edge.

Abstract: A rollover alarming system, a rollover risk prediction method, and a rollover alarming method. An axle housing strain measurement unit measures strain values on both sides of an axle housing of a vehicle body. A roll angle measurement unit measures a roll angle of the vehicle body. A collection control unit is configured to collect the strain values on both sides of the axle housing of the vehicle body and the roll angle of the vehicle body, calculate a strain difference between the strain values according to the strain values on both sides of the axle housing of the vehicle body, and output a corresponding alarm control signal according to the strain difference between both sides of the axle housing of the vehicle body and the roll angle of the vehicle body. An alarm unit is configured to output a corresponding alarm signal according to the received alarm control signal.

Abstract: An integrated security system that includes a security coprocessor coupled to a conventional security system panel and an interactive security system. The integrated security system enables conventional security system features as well as the consumer-oriented interactive features and functions of an interactive security system without sacrificing reliability or the significant burden and cost associated with frequent software updates associated with conventional security systems. The integrated security system also minimizes or eliminates the need for new battery backup circuitry or larger batteries.

Abstract: A method includes receiving a video signal that comprises a time series of images of a face of a human, wherein the images in the time series of images comprise a set of landmark points in the face, applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the human face, generating a set of variation signals indicative of variations revealed at respective landmark points in the set of landmark points, applying processing to the set of variation signals, the processing comprising artificial neural network processing to produce a reconstructed PhotoPletysmoGraphy (PPG) signal, and estimating a heart rate variability of a variable heart rate of the human as a function of the reconstructed PPG signal.

Abstract: This disclosure describes a vehicle-icon-animation system that determines render orientations for rendering a vehicle icon to represent a public transportation vehicle traveling along a predicted route. For example, based on analyzing public transit information, the disclosed systems can determine render orientations corresponding to locations of a public transportation vehicle along a predicted route. In addition, the disclosed systems can render (or cause a client device to render) a vehicle icon to portray the public transportation vehicle pointing in different render orientations at various locations along the predicted route. Further, the disclosed systems can update the vehicle icon to render it in a new location within a graphical map display based on updated public transit information.

Abstract: A method for calculating the steady-state fault current of a modular multilevel converter (MMC) comprises calculating the dc-side critical resistance values RA/B, RB/C and RC/D of the MMC based on the bridge arm inductance coefficient k and the ac-side reactance Xac of the MMC; Then, determining the operating modes of the MMC based on RA/B, RB/C and RC/D, and calculating the steady-state dc fault current and the conduction overlap angle respectively under various operating modes without considering the ac-side resistance based on the parameters k, Us, Rdc and the dc-side critical resistance values RA/B, RB/C and RC/D; After that the steady-state AC fault current amplitude and phase angle for each operating mode without considering the AC side resistance are calculated based on the DC current and conduction overlap angle for each operating mode, respectively. Finally, the steady-state AC fault current amplitude and phase angle are calculated for various operating modes considering the AC side resistance.

Abstract: A computer-implemented method of assessing driver capability for operating an autonomous vehicle includes identifying a human operator of the autonomous vehicle, the human operator being associated with a driving capability profile. The method further includes signaling to the human operator with the signal, the signal requesting a response from the human operator. The method also includes updating, based on the response from the human operator to the signal, the driving capability profile to indicate a level of skill of the human operator at responding to the signal.

Abstract: An occupant or object sensing system in a vehicle includes electrical circuits for capacitive sensing and corresponding circuits shielding the sensing system from interference. A sensing circuit and a shielding circuit may be printed by screen printing with conductive ink on opposite sides of a non-conductive substrate. The substrate is a plastic film or other fabric that has an elastic memory structure that is resilient to stretching. The conductive inks used to print circuits onto the substrate have a similar resilience to stretching such that the substrate and the circuits thereon can be subject to deforming forces without breaking the printed circuits. The substrate may be covered with a carbon polymer layer to provide alternative conductive paths that enable fast recovery for conduction in the presence of any break in the printed conductive traces on the substrate.

Abstract: The systems and methods disclosed herein provide a risk prediction system that uses trained machine learning models to make predictions that a VRU will take a particular action. The system first receives, in a video stream, an image depicting a VRU operating a micro-mobility vehicle and extract the depictions from the image. The extraction process may be determined by bounding box classifiers trained to identify various VRUs and micro-mobility vehicles. The system feeds the extracted depictions to machine learning models and receives, as an output, risk profiles for the VRU and the micro-mobility vehicle. The risk profile may include data associated with the VRU/micro-mobility vehicle determined based on classifications of the VRU and the micro-mobility vehicles. The system may then generate a prediction that the VRU operating the micro-mobility vehicle will take a particular action based on the risk profile.

Abstract: This disclosure provides a vehicle control device, a vehicle control method, and a recording medium. The vehicle control device according to one aspect of an embodiment includes a recognition unit that recognizes an object in a periphery of the own vehicle, a road information acquisition unit that acquires road information in the periphery of the own vehicle, and an alarm control unit that causes an alarm device to give an alarm when the object recognized by the recognition unit exists in a predetermined region set with reference to a position of the own vehicle, in which the alarm control unit does not give the alarm regarding the object when at least part of the object existing in the predetermined region recognized by the recognition unit exists outside a road from a boundary the road where the own vehicle acquired by the road information acquisition unit exists.

Abstract: Systems and methods related to virtual telemedicine systems, virtual examinations, medical marketplaces, and/or assistance for patient/physicians are provided. The systems can be configured to identify relevant medical service providers based on user-specific information, whether the user has experienced a medical event that may require emergency, urgent, or non-urgent medical services, and/or provide examinations, such as virtual examinations, in person examinations, or hybrid examinations (e.g., both a virtual examination with a first physician and a physical examination with another physician).

Abstract: A vehicle system includes, a sensing device configured to detect vehicle status information including gear-stage information and steering information of a steering wheel, and a control device configured to determine a target parking spot among parking spots included in a parking lot based on the gear-stage information and the steering information when the vehicle maintains a stopped state for more than a predetermined period in the parking lot, and to execute an autonomous parking function for parking at the target parking spot.

Abstract: Systems and methods comprise a gateway that includes a processor coupled to a security system at a premises via a channel. The channel comprises a protocol of the security system that is a proprietary bus protocol of the control panel of the security system. A touchscreen at the premises is coupled to the gateway and presents user interfaces. The user interfaces include a security interface that provides control of functions of the security system and access to data collected by the security system, and a network interface that provides access to network devices. A camera is located at the premises and coupled to the gateway. A security server at a remote location is coupled to the gateway. The security server comprises a client interface through which remote client devices exchange data with the gateway and the security system.

Abstract: A vehicular driving assist system includes an in-cabin camera disposed at an interior rearview mirror assembly in an interior cabin of a vehicle and viewing at least a steering wheel of the vehicle and capturing image data. An electronic control unit (ECU) includes an image processor for processing image data captured by the in-cabin camera to detect presence of one or both hands of a driver of the vehicle at the steering wheel. The vehicular driving assist system, responsive to determining, via processing at the ECU of image data captured by the in-cabin camera, that at least one hand of the driver is not on the steering wheel when the vehicle is at or approaching a hazardous condition, generates an alert to the driver of the vehicle.

Abstract: A parking guidance system includes a parking guidance device that sets a position of a parking area in a distribution hub and generates a travel path to the parking area and an autonomous vehicle that controls movement of the autonomous vehicle to the position of the parking area set by the parking guidance device.

Abstract: A park assist system includes a controller that executes park assist control with which a vehicle is automatically parked in a parking spot. The controller is configured to set a point at a position higher than the vehicle and across the vehicle from the parking spot as a viewpoint used to generate the parking spot image, set an angle according to a parking spot distance that is an actual distance between the vehicle and a parking spot shown by the parking spot image as a depression angle used to generate the parking spot image, generate a parking spot image by using the set viewpoint and depression angle, cause a display device to display the parking spot image, and park the vehicle with the park assist control in a parking spot set by the driver as a target parking spot by way of viewing the parking spot image.