In an alcohol detection system, face authentication is performed on a person to be measured before an alcohol detection device starts measurement, and the success of the face authentication performed on the person to be measured triggers the acquisition of camera image information that are images of the face of the person to be measured continuously shot by a camera. In other words, when the face authentication performed on the person to be measured succeeds, the person to be measured starts alcohol detection and images of the face of the person to be measured are continuously shot during the measurement.

The present disclosure accurately identifies a posture of a user whose body is supported by a supporting apparatus. A posture identifying device includes: a model preparing section configured to prepare a three-dimensional model from body data; a body part position information obtaining section configured to obtain body part position information from a camera; a shape information obtaining section configured to obtain shape information from a shape sensor; a model correcting section configured to correct a posture in the three-dimensional model according to (i) a position of a specific part indicated by the body part position information and (ii) a shape of a seat indicated by the shape information; and a posture identifying section configured to identify a posture of a user from the posture in the three-dimensional model thus corrected.

A health advisory alert system for a vehicle is presented. A controller may determine whether a vehicle occupant is preparing to exit the vehicle. Upon determination that the vehicle occupant is preparing to exit the vehicle, the controller may determine a location of the vehicle, determine a health advisory metric based on the location of the vehicle, and determine whether personal protective equipment should be worn based on the health advisory metric. Upon determination that personal protective equipment should be worn, the controller may output a notification to the vehicle occupant indicating that personal protective equipment should be worn.

A remote temperature detector system comprises a reference thermal mass; a temperature sensor in thermal contact with the reference thermal mass for monitoring temperature thereof and generating temperature signals indicative of the monitored temperature; an infrared detector for detecting infrared radiation emitted by an external object and generating infrared detection signals; and a processor in communication with the temperature sensor and the infrared detector to receive the temperature and infrared detection signals, wherein the processor is configured to operate on the infrared detection signals and temperature signals to estimate temperature of the one or more external objects.

Described is a system for automatic adjustment of neurostimulation. The system controls stimulation of specific neural regions through a neural device positioned on a human subject, while simultaneously performing recordings from the neural device using a targeted arrangement of stimulating electrodes and distinct types of recording electrodes of the neural device. Stimulation of the specific neural regions is adjusted in real-time based on the recordings from the neural device.

Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

A arousal level control apparatus calculates, under a limitation related to a physical quantity that affects an arousal level of a subject, a setting value for controlling the arousal level of the subject by using a physical quantity prediction model for calculating the physical quantity based on a setting value of the physical quantity and an arousal level prediction model for calculating a prediction value of the arousal level based on the calculated physical quantity calculated, and sets the calculated setting value to a control target device that affects the physical quantity.

Methods and systems are provided for selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle on a road segment that includes one or more road attributes associated with increased levels of anxiety. In one example, selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle includes determining a driver classification for a driver operating the vehicle; predicting an anxiety level of the driver at an upcoming traffic condition, based on the driver classification; and selectively inhibiting an upcoming engine idle-stop event based on the predicted anxiety level of the driver.

An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user's temperature to a threshold temperature, and if the user's temperature exceeds the threshold temperature, the AV performs checks to ensure that the user's planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user's home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

A system for monitoring a human operator of critical equipment comprises an imaging module; a biometric measurement module; a risk detection module; and a risk response module. The imaging module includes a multi-spectral light source configured to emit light in a first spectral wavelength range for illuminating at least a portion of the human operator; a camera configured to detect light received from the human operator in a second spectral wavelength range; an imaging data generator configured to generate image data based on the emitted light and detected light. The biometric measurement module is configured to receive the image data; and based on the image data, perform at least one biometric measurement on the human operator. The risk detection module is configured to establish a safety risk associated with the human operator; and the risk response module is configured to based on the safety risk generate a risk response.