A method includes receiving data about potential impairment of a vehicle operator, wherein the data about potential impairment is generated by: (i) monitoring the vehicle operator with a first optical sensor, and (ii) monitoring an environment ahead of a vehicle operated by the vehicle operator with a second optical sensor. The computer-implemented method further includes assigning a plurality of scores based on the data about potential impairment, wherein each of the plurality of scores corresponds to a respective impairment indicator, and determining an impairment score for the vehicle operator by performing a mathematical operation on the plurality of scores, the impairment score summarizing a level of impairment of the vehicle operator.

A method for predicting risk exposure includes receiving a particular set of data acquired via a sensor. The method for predicting risk exposure further can include analyzing, via a machine learning (ML) model, the particular set of data. The analyzing can include determining that the particular set of data represents a particular light exposure pattern corresponding to a light exposure pattern correlated with a risk pattern. The ML model can be trained with a first set of data and a second set of data to identify a correlation between the light exposure pattern and the risk pattern. The method for predicting risk exposure also can include predicting a risk exposure for a user based on the particular set of data. The method for predicting risk exposure also can include providing a notice indicating the risk exposure.

A method for predicting risk exposure can include receiving a set of data collected via a smart ring. The method also can include analyzing, via a trained machine learning (ML) model, the set of data collected via the smart ring to determine whether the set of data collected via the smart ring (a) represents an impairment pattern or (b) correlates to a high-risk pattern, wherein at least one of the impairment pattern or the high-risk pattern correlates to a risk exposure. The method for predicting risk exposure further can include generating a notification to alert a user of the risk exposure. Other embodiments are disclosed.

An evacuation driving assistance apparatus capable of evacuation driving toward an appropriate evacuation location is provided. In the evacuation driving assistance apparatus, a driver determination unit determines whether or not a driver of an own vehicle is in a normal-driving enabled state. If it is determined by the driver determination unit that the driver of the own vehicle is in a normal-driving disabled state, a notification unit provides a notification of location information of the own vehicle to a center. The center is capable of determining an evacuation location based on the location information of the own vehicle, and transmitting the evacuation location. A reception unit receives the evacuation location transmitted by the center. An evacuation driving execution unit executes evacuation driving toward the evacuation location received by the reception unit.

Electronic surveillance system (100) comprising an electronic surveillance bracelet (1) adapted to be secured around a limb of a wearer, the electronic surveillance bracelet (1) comprising an energy source (5), a processing unit (7), an identification generator (11), a localisation system (12), and at least one wireless communication system (9) adapted to communicate with a base station (15), characterised in that the wireless communication system (9) is adapted to receive communication from at least one further device (17) and to transmit a result of this communication to said base station (15) together with an identification signal generated by the identification generator (11).

A system includes: a first camera configured to capture first images of a driver on a driver's seat within a passenger cabin of a vehicle; a second camera configured to capture second images in front of the vehicle; a driver module configured to determine a driver of the vehicle based on at least one of the first images and to determine a present driver's licensing level of the driver with a driver's licensing body; a first detection module configured to detect first occurrences of first conditions within the passenger cabin of the vehicle based on the first images; a second detection module configured to detect second occurrences of second conditions outside of the vehicle; and a reporting module configured to, based on the present driver's licensing level of the driver, selectively generate a report including at least one of the first and second occurrences.

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. For each of a plurality of trips, an impairment score is generated by analyzing the data about potential vehicle operator impairment, and determining whether the vehicle operator was impaired during the trip by comparing the impairment score to a threshold value. A specific time period during which the vehicle operator tends to be most impaired is determined based on the determinations of whether the vehicle operator was impaired. Recommendations to reduce operator impairment of the vehicle operator are identified and communicated to the vehicle operator.

The method, system, and computer-readable medium facilitates monitoring one or more eyes of a vehicle operator during a driving session to generate a plurality of gaze location logs with gaze location values. The gaze location value may be generated by determining a location of the vehicle operator's gaze, determining which area of the vehicle is associated with the gaze location, and assigning the gaze location value based on the area of the vehicle associated with the gaze location. The gaze location logs may be analyzed to determine the duration of the vehicle operator's gaze at each area of the vehicle. Based on the duration of the vehicle operators gaze, one or more recommendations to improve vehicle operator performance may be identified and communicated to the vehicle operator.

Apparatus and methods for contact-free breath analysis are provided. One aspect provides a pneumatic circuit that can be used for analyzing a contact-free breath sample or a breath sample provided through an inlet tube. Some aspects provide apparatus that can be incorporated into a rearview mirror or steering wheel of a vehicle, or used as a standalone unit.

A computer-implemented method for determining a physical condition of a driver of a vehicle. The method includes receiving at least one image taken by a vehicle camera. The image shows at least a part of the driver and a sensor to be operated by the driver to determine the physical condition. The method includes determining, based on the image, if the sensor is operated by the driver.