A ring includes a controller. The ring can also include a power source configured to power the controller. The ring further can include a charging unit. The charging unit can be configured to convert a first form of energy into a second form of energy. The charging unit also can be coupled to the power source to provide the second form of energy to the power source. The controller can execute instructions to control operation of a user interface. Other embodiments are disclosed.

There is provided a system for the measuring of the BAC and/or possible existence of illegal active substances in a driver (4) of a vehicle, the system characterized in that it comprises: a first portable device (1) which comprises at least one sensor for detecting the BAC and/or other illegal active substances of said driver (4); and a second device (2) fixedly mounted on the vehicle and which it is interfaced with said first portable device (1) to receive/send one or more electrical signals to a control unit, the latter being mounted on said vehicle; the arrangement being such that said electrical signals from said second device (2) are related to the detected/sensed values of BAC and/or other illegal active substances and coming from said first device (1), and said control unit being adapted to control the management of the whole vehicle consequently and according to the values of said electrical signals.

A system preventing an impaired driver from starting a vehicle has a mobile application executing on a portable communication device having a display screen, user-operable input elements, a microphone audio input, a speaker and wireless communication circuitry, a hardware component integrated into wiring of the vehicle, the hardware component comprising a normally open switching element operable by wireless signal from the portable communication device, that when open prevents the vehicle from starting, and an interactive interface displayed on the display screen. The interactive interface requests specific action from a candidate driver, records the candidate driver's action, determines if the action indicates the candidate driver is impaired, and if not impaired, signals the hardware component wirelessly to close the normally open switching element for a predetermined time, enabling the candidate driver to start the vehicle.

A system for context based alerts includes an interface and a processor. The interface is configured to receive driver context data and surrounding context data. the processor is configured to determine a current state using alert context patterns and the driver context data and the surrounding context data, where the alert context patterns are determined based at least in part on correlation between events in historic event data and context data, and where the context data comprises historic driver context data and historic surrounding context data; and determine whether to alert a driver based at least in part on the current state.

A communication warning and safety system having a breathalyzer fail safe app for vehicle status control and notification by wireless communication to detect possible impaired drivers, preventing them from starting the vehicle. An integrated automatic control and response activation of preprogrammed contact information for emergency enabled numbers and two-way communication format provides a variety of action responses based on management communication software preprogramming.

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.

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.

An approach is provided for the prediction of the usage of smoking products in vehicles using machine learning. The approach, for example, involves obtaining, from at least one sensor, first smoking event data associated with a first smoking event on a first road link. The first smoking event is associated with the usage of at least one smoking product by a first user on the first road link. The approach further involves retrieving a first set of features including road link properties of the first road link and context information associated with the first smoking event on the first road link. The approach further involves training a machine learning (ML) model using the retrieved first set of features to determine an association between the retrieved first set of features and the first smoking event and storing the trained ML model.

A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first indicator. The first indicator can be configured to provide a first non-flashing visual output at a first brightness level and indicative of a first charging status of the power source. The first indicator also can be configured to provide a second non-flashing visual output at a second brightness level indicative of a second charging status of the power source. Other embodiments are disclosed.

A method including receiving sensor data from one or more substance-detecting sensors located near or on a user is disclosed. The one or more substance-detecting sensors can be configured to detect one or more chemical substances. The method further can include determining, based on the sensor data, one or more consumed substances of the one or more chemical substances consumed by the user. The method also can include determining, in real-time, whether the user is driving under an influence of the one or more consumed substances. The method additionally can include updating a user profile of the user to include user driving behavior data comprising one or more of: (a) the sensor data, (b) the one or more consumed substances, or (c) a determination that the user is driving under influence of the one or more consumed substances. Other embodiments are disclosed.