Exhaustive driving analytical methods, systems, are apparatuses are described. The methods, systems, are apparatuses relate to utilizing partially available data associated with driver and/or driving behaviors to determine safety factors, identify times to react to events, and contextual information regarding the events. The methods, systems, and apparatuses described herein may determine, based on a systematic model, reactions and reaction times, compare the vehicle behavior (or lack thereof) to the modeled reactions and reaction times, and determine safety factors and instructions based on the comparison.

One general aspect includes a method to restrict vehicle operations in response to a detection of vehicle occupant impairment, the method including: detecting a vehicle occupant is in an impaired state; in response to detecting the vehicle occupant is in the impaired state: when a vehicle is in an autonomous driving mode, restricting the vehicle occupant from being able to shift the vehicle to a manual driving mode; and when the vehicle is in the manual driving mode, providing a notification configured to warn the vehicle occupant of risks associated with operating the vehicle while in the impaired state, or the notification being configured to recommend that the vehicle occupant shifts the vehicle to the autonomous driving mode, or the notification being configured to alert the vehicle occupant that the vehicle will automatically be shifted to the autonomous driving mode, or some combination thereof.

A determination system includes a determiner that determines whether sleepiness of a driver who drives a mobile body is normal, based on sleepiness data regarding the sleepiness of the driver and reference data regarding sleepiness used as reference for determining whether the sleepiness of the driver is normal.

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.

A vehicle control device includes: a speech acquiring section that acquires speech data related to a speech of a speaker; a state acquiring section that acquires information indicating whether or not a driver attempting to start driving a vehicle is in an intoxicated state based on the speech data; and a control section configured to limit a start operation of the vehicle in a case in which the information indicates that the driver is in the intoxicated state, the start operation being an operation performed by the driver with respect to the vehicle to start driving the vehicle.

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. A number of impairment scores are generated by analyzing the data about potential vehicle operator impairment. A specific time period during which the vehicle operator tends to be most impaired is determined based on the impairment scores. 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.

A method for adjusting a driving control authority of a vehicle includes: generating stimulation for a driver using a stimulation generator; measuring a driver reaction signal in response to the generated stimulation using a measurement device; processing the measured driver reaction signal using a signal processor; determining a driver state based on the processed driver reaction signal using a determiner; and adjusting the driving control authority of the vehicle according to the determined driver state using a vehicle controller

A determination system includes a determiner that determines whether sleepiness of a driver who drives a mobile body is normal, based on sleepiness data regarding the sleepiness of the driver and reference data regarding sleepiness used as reference for determining whether the sleepiness of the driver is normal.