Abstract: The techniques of this disclosure relate to a driver-monitoring system. The system includes a controller circuit that receives monitoring data from a driver-monitor sensor that is configured to monitor a driver of a vehicle while the vehicle operates in an autonomous-driving mode. The controller circuit determines a score of one or more driver-supervisory metrics based on the monitoring data, each of the driver-supervisory metrics being indicative of whether the driver is supervising the operation of the vehicle. The controller circuit determines a supervision score based on the score of the driver-supervisory metrics. The supervision score is indicative of whether the driver is ready to resume control of the vehicle. The controller circuit indicates a driver-awareness status on a display in a field of view of the driver based on the supervision score. The system can improve vehicle safety by alerting the driver when the driver exhibits reduced driver awareness behavior.

Abstract: Apparatus and methods for detecting and reporting pollution at an oil facility are disclosed. The technology utilizes a logic control system to read from a pollution sensor and present the sensed data as a pollutant from a leak. The pollution leakage can be further managed and reduced.

Abstract: Sleep tracking systems and techniques for monitoring two or more co-sleepers in a single bed are disclosed. Such systems and techniques may incorporate sleeper identification, as well as various non-user-specific aspects. Some implementations may incorporate user-specific or user-tailored alarm functionality.

Abstract: A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

Abstract: A system for centrally managing and executing emergency egress guidance. A first computing device can receive an indication of an emergency and user presence information in a building, retrieve, from a local data store, generated egress instructions for the building, select, for each of a plurality of egress advisement devices and based on the emergency indication, user presence information, and location of each egress advisement device, one of the egress instructions that is customized for each egress advisement device, and transmit, to each egress advisement device, the selected instructions to be outputted to guide users to exit the building. Each egress advisement device can determine that communications are terminated between the egress advisement devices and the computing device, obtain the emergency indication and user presence information, and retrieve, from the local data store, a second of the egress instructions associated with the location of the device.

Abstract: A system for emergency egress advisement from a building. An egress advisement device can receive a floormap and subset of emergency egress instructions associated with routes within the building, wherein the subset of instructions are associated with a location of the egress advisement device and are used, by the device, to direct users in proximity to the location of the device to egress from that location during an emergency, locally store the floormap and subset of instructions, receive a signal indicative of an emergency, locally select, based on real-time conditions in the building relative to the location of the egress advisement device, one of the subset of instructions, which is customized for users in proximity to the location of the egress advisement device, and output the selected instructions to guide the users in proximity to the location of the egress advisement device to egress from the building.

Abstract: A system for generating emergency egress advisement based on motion data and trained models for the building. A computing device can receive, from first detection devices, frequency of movement indicating routes frequented the most by users in the building, determine an initial emergency egress advisement for the building, receive, from the first detection devices, first motion data about the users, receive, from second detection devices positioned throughout the building or worn by the users, second motion data, iteratively train a model for the building by correlating the initial emergency egress advisement to corresponding (i) first motion data, (ii) second motion data, and (iii) historic user presence information across one or more model layers using one or more machine learning algorithms, the iterative training generating a trained model for the building, and update, based on the trained model, the initial emergency egress advisement for use during an emergency in the building.

Abstract: A system for practicing suggested emergency egress from a building. An egress advisement device can, during a non-emergency, receive from a first computing device, suggested egress plans that are customized for users in the building based on user presence information and different types of emergencies, output, to a GUI of the egress advisement device, the suggested egress plans, receive first user input indicating a selection of one of the plans, present for playback by the users, the user-selected egress plan, receive after playback of the user-selected egress plan, second user input indicating updates to at least one of the user-selected suggested plan, building information, and the user presence information, transmit, to the computing device, the second user input, receive, from the computing device, updated suggested egress plans based on the second user input, and during an emergency, generate egress advisement instructions based on the updated suggested egress plans.

Abstract: A peer-to-peer system for providing egress guidance. Each of a plurality of egress advisement devices can receive an indication of an emergency in a building and user presence information, transmit to a cloud data store a request for one or more egress plans, receive from the cloud data store a subset of the egress plans that are identified by matching a location identifier for each of the subset of the plans with the location information of the egress advisement device, locally select one of the subset of the plans that is customized for a location of the egress advisement device, a current location of users in the building in proximity to the egress advisement device, and a location of the emergency, and output the selected plan to guide one or more of the users in proximity to the egress advisement device to exit the building.

Abstract: A system for dynamically selecting egress plans during an emergency. A computing device can receive signals indicating an emergency in the building and user presence information, determine a type of the emergency, predict locations of the users within the building, transmit, to an emergency responders computing device, the indication of the emergency and predicted locations of the users within the building, receive, from the emergency responders computing device, an estimated responders arrival time based on a current distance of emergency responders from the building, select one or more of the determined egress plans to direct the users to exit the building, send, to signaling devices in the building, signaling instructions for the signaling devices to emit signals indicating to the users the selected one or more egress plans, and send, to the emergency responders computing device, the selected one or more egress plans.

Abstract: A system for providing audio and visual signaling output to egress a building. A central monitoring system can determine, based on user presence information, a floormap of the building having multiple routes and exits, receive emergency indication information indicating one or more locations within the building that may have an emergency, determine, based on the floormap and emergency indication information, egress plans that can be used by the users to exit the building, transmit, to signal generators of a first of signaling devices, first signaling instructions for the first of the signal generators to emit first signals that indicate to first users a first egress plan to exit the building, and transmit, to signal generators of a second of the signaling devices, second signaling instructions for the second of the signal generators to emit second signals that indicate to second users a second egress plan to exit the building.

Abstract: In an example, printed circuitry comprises a digitally printed switch, the printed switch comprising a first contact element printed using conductive print agent on a first substrate portion and a second contact element printed using conductive print agent on a second substrate portion. An interposed non-conductive printed spacer element is overprinted on at least one of the first and the second substrate portions.

Abstract: A system for generating emergency egress advisement for a building having at least one first computing device that determines a floormap and generates initial emergency egress advisement for the building and at least one second computing device that improves generation of initial emergency egress advisement. The second computing device can receive the initial emergency egress advisement, iteratively train a model for the building by correlating the initial emergency egress advisement to corresponding information about intended egress outcomes for different emergency situations in the building across one or more model layers using one or more machine learning algorithms, predict, based on real-time information about the emergency and historic user presence information, presence and location information of users in the building, generate egress routes that can be used by the users, and update, based on a trained model and the generated egress routes, the initial emergency egress advisement for the building.

Abstract: A dynamic wake-up alarm is provided-for, including a clock, a contactless biometric sensor, a processor, memory, and a speaker. The processor may be configured to receive a wake-up rule based on at least two wake-up criteria including a time from the clock and data from the biometric sensor, and evaluate whether the criteria are met to activate an alarm.

Abstract: A method of monitoring a breastfeeding of a user that includes providing at least one detector that measures a first data of a breastfeeding event, receiving a second data from the user and processing the first data and the second data to create a lactation transfer report. The method communicates the lactation transfer report to a user device and/or a device accessible by one or more experts and provides feedback to the user based on an evaluation of the lactation transfer report by the one or more experts. The first data includes the time of the breastfeeding event, a length of the breastfeeding event and/or a rate of filling of the breastfeeding event. The user device receives the second data in the form of additional breastfeeding information from the user.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: The invention relates to a method for operating an ultrasonic sensor (4) of a vehicle (1), in which a sound transducer element (11) of the ultrasonic sensor (4) is excited with a predetermined excitation signal, wherein the excitation signal has a predetermined current amplitude, an electrical test voltage (U) at the sound transducer element (11) resulting from the excitation signal is measured, and a diagnosis of the ultrasonic sensor (4) is carried out on the basis of the test voltage (U), wherein the ultrasonic sensor (4) is excited with the excitation signal in a measuring mode for the transmission of an ultrasonic signal, the electrical test voltage (U) is measured during the transmission, on the basis of the electrical test voltage (U) a reduced diagnosis is carried out, wherein the ultrasonic sensor (4) either continues to be operated in the measuring mode or is operated in a diagnostic mode for a complete diagnosis, depending on a result of the reduced diagnosis.

Abstract: An occupant behavior determining apparatus includes a surveillance camera that captures an image of an occupant of a vehicle to acquire an image; a face recognizing section that recognizes a face of the occupant based on the image; a posture recognizing section that recognizes a posture of the occupant based on the image; and a behavior determining section that determines a behavior of the occupant in a vehicle cabin based on a recognition result of the face recognizing section and a recognition result of the posture recognizing section.

Abstract: One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and/or biometric data, and/or modifications to treatment plans can be determined and/or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

Abstract: A child safety seat checking system for a child safety seat of a vehicle, in particular a motor vehicle, is comprised of at least one child safety seat, a first checking device for checking whether a child is located in the child safety seat, and a second checking device for checking whether a person supervising the child is present, wherein the second checking device is designed to operate in an at least partly portable manner in an operating state of the child safety seat checking system and/or is designed to operate regardless of an on/off state of the vehicle.