A transport device with an occupant compartment includes a control apparatus, a transport device door, a transport device roof, a safety belt, a transport device seat, a headset, a headrest, a rearview mirror, a sun visor, and/or a dashboard, as well as a sensor for breath gas analysis, a position locating device for determining the distance between the sensor and the front side of the head of a compartment occupant, a data processing device, and in some cases a sensor for measuring at least one vital sign. The sensor or sensors are present on or in the control apparatus, the transport device door, the transport device roof, the safety belt, the transport device seat, the headset, the headrest, the rearview mirror, the sun visor, and/or the dashboard, and the data processing device is in operative connection with a device for blocking the transport device and/or with an information output unit.

A vehicle includes a processing device that detects an authentication device approaching the vehicle, determines a user's impaired state based on user condition information acquired using at least one device mounted on the vehicle, and performs a safe driving assistance service. The safe driving assistance service can prevent an impaired user from operating the vehicle.

The invention relates to a system for testing a driver assistance system of a vehicle, where the driver assistance system has at least one interior sensor and is designed to process sensor signals of the at least one interior sensor for monitoring a driver of the vehicle, the system comprising: simulation means for simulating at least one physical property of the driver which characterizes a physiological condition of the driver, in particular the driver's attentiveness, activity, fatigue, mood, state of health, and/or drug influence, and is able to be detected by the at least one interior sensor such that it can generate sensor signals as a function of the at least one simulated physical property; and an interface which interacts with the driver assistance system such that sensor signals are provided the driver assistance system as a function of the at least one simulated physical property. The invention further relates to a corresponding method.

Devices, methods and systems related to wearable patch having blood alcohol content detector. In some embodiments, a wearable patch can include a patch structure having one or more layers and configured to allow the patch to be worn by a user, and an analyzer component implemented on or at least partially within the patch structure and configured to measure alcohol content level in the user. The wearable patch can further include an interface component implemented on or at least partially within the patch structure and in communication with the analyzer component, with the interface component being configured to provide a notification based on the measured alcohol content. In some embodiments, such a wearable patch can be a part of a system such as a monitoring system or a compliance system.

A movable carrier auxiliary system includes a driver state detecting device and a warning device. The driver state detecting device includes a physiological state detecting module, a storage module, and an operation module. The physiological state detecting module is adapted to detect a physiological state of a driver. The storage module is disposed in a movable carrier and stores an allowable parameter corresponding to the at least one physiological state. The operation module is disposed in the movable carrier and is electrically connected to the physiological state detecting module and the storage module to detect whether the at least one physiological state of the driver exceeds the allowable parameter or not, and to correspondingly generate a detection signal. The warning device generate a warning message when the detection signal that the at least one physiological state of the driver exceeds the allowable parameter is received.

A first imaging section 201 captures an image of the vehicle exterior, and a second imaging section 202 captures an image of a driver. An image processing section 203 detects the driver's line of sight. An information acquisition section 205 acquires status information indicative of the surrounding environment. A driving parameter information generation section 206 generates driving parameter information by use of, as parameter information, the current position detected by a self-position detection section 204, travel control information generated by a travel control section, information indicative of the driver's line of sight, information indicative of the surrounding environment, and the like. A determination section 209 determines whether there is a danger on the basis of a difference between the driving parameter information indicative of the state of the vehicle or of its driver on one hand, and optimum parameter information indicative of an optimum state of the vehicle or of its driver in the current position and in the current surrounding environment on the other hand. An information presentation section 214 presents driving assistance information on the basis of a result of the determination. On the basis of the determination result, a travel control section 210 provides traveling assistance such as to reduce the difference in parameter information. The present technology enables appropriate driving assistance.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed UVB exposure patterns, where the driver's UVB exposure levels may serve as a proxy for vitamin D levels in that driver's body. A smart ring, wearable on a user's finger, continuously monitors user's exposure to UVB light. This UVB exposure data, representing UVB exposure patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed UVB exposure patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sunlight exposure before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from insufficient UVB exposure.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed impairment patterns. A smart ring, wearable on a user's finger, continuously monitors impairment levels. This impairment data, representing impairment patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed impairment patterns. The user can be warned of this risk to prevent them from driving or to encourage them to delay driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while the user is in a state of impairment induced by substance intoxication.

Methods, vehicles, and systems described herein generate alerts based on a generated macro state level indicative of a traffic hazard risk in view of a set of parameters which may lead driver to make various sub-conscious decisions. The set of parameters can include at least one of a vehicle parameter, driver state parameter, or external parameter.

A vehicle having one or more cameras, configured to record one or more images of a driver of the vehicle. The camera(s) can be configured to send biometric image data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the driver based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to transmit the risk score of the driver to the customer so that the customer can decide whether to book the vehicle for a ride.