A method for controlling vehicle functions to increase the well-being and/or to increase the attention of at least one vehicle user in a vehicle. A number of vehicle functions are activated when at least one specific user menu is selected. Here, a lead function assigned to the user menu from the number of vehicle functions is predetermined in each case and the time and content processes of the other vehicle functions assigned to the user menu are coordinated with respect to the lead function.

A system to generate an alert to wake a driver of a vehicle comprises at least one camera configured to sense EEG signals from the driver and a processing module, connected to the at least one camera, to process the EEG signals and to generate alarms.

A driver is awakened by measuring a drowsiness level of the driver; detecting a behavior of the driver indicating that the drive is aware of drowsiness; setting an intensity of an awakening stimulus based on the drowsiness level and a detection result of the behavior; and generating the awakening stimulus according to the intensity. The intensity is set to be higher when the behavior of the driver is detected under a same drowsiness level than when the behavior of the driver is not detected.

A system for delivery of ultra-low radio frequency energy to an individual to assist the individual to remain, or become, alert, awake, or focused includes at least one delivery coil and a delivery device that includes at least one memory; at least one data file configured for producing signals derived from measurements of at least one molecule; and at least one processor coupled to the at least one memory and the at least one delivery coil. The at least one processor is configured to perform actions that include directing generation of the signals using the at least one data file and directing delivery of the signals to the at least one delivery coil to produce the ultra-low radio frequency energy.

A system and method of detecting an anti-circumvention attempt associated with an ignition interlock device of a vehicle. The method comprises detecting an electrical parameter associated with an electrical power state of the vehicle electrical system that includes the ignition interlock device having at least a relay device and a controller device electrically interconnected within the vehicle electrical system; comparing, responsive to the detecting, the electrical parameter to a threshold condition; inferring an IID circumvention event in accordance with the electrical parameter being one of above and below the threshold condition, and reporting, responsive to the inferring, the IID circumvention event to a central monitoring server computing system.

Provided is a vehicle seat that detects an alertness level of the driver, urges the driver to be alert, and permits the transition from autonomous driving to manual driving when the driver is alert enough for the manual driving. A vehicle seat configured to be mounted on a vehicle provided with a vehicle control device that can be selectively switched from autonomous driving to manual driving comprises: a seat body configured to support a driver; a seat control unit configured to communicate with the vehicle control device; an alertness level sensor provided on the seat body for detecting an alertness level of the driver; and a rousing unit provided on the seat body for providing a stimulus for urging the driver to be roused, wherein the seat control unit is configured to detect the alertness level of the driver according to a signal from the alertness level sensor upon receiving a start signal that is produced by the vehicle control device when a transition from the autonomous driving to the manual driving is to be initiated, to activate the rousing unit when the alertness level is lower than a first alertness level threshold value, and to permit the vehicle control device to perform the transition from the autonomous driving to the manual driving when the alertness level is equal to or higher than the first alertness level threshold value.

In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

An evaluation engine has two or more modules to assist a driver of a vehicle. A driver drowsiness module analyzes monitored features of the driver to recognize two or more levels of drowsiness of the driver of the vehicle. The driver drowsiness module evaluates drowsiness of the driver based on observed body language and facial analysis of the driver. The driver drowsiness module is configured to analyze live multi-modal sensor inputs from sensors against at least one of i) a trained artificial intelligence model and ii) a rules based model while the driver is driving the vehicle to produce an output comprising a driver drowsiness-level estimation. A driver assistance module provides one or more positive assistance mechanisms to the driver to return the driver to be at or above the designated level of drowsiness.

Systems and methods for mitigating drowsy and/or sleepy driving may include utilizing vehicle-related and wellness-related telematics to detect and/or predict drowsy and/or sleepy driving states of a driver of a vehicle and take mitigating actions to thereby increase the safety of the driver and other people and/or vehicles in the vicinity of the driver's vehicle. Vehicle-related telematics data and wellness-related telematics data (which may include sleep data) may be collected via sensors that disposed on-board the vehicle, in the vehicle's environment, and at a personal health/fitness tracker of the driver. The collected data may be collectively interpreted to detect, predict, and/or otherwise discover information relating to a drowsy and/or sleepy state of the driver, and one or more mitigating actions may be automatically performed based on the discovered information to thereby mitigate undesirable effects of drowsy/sleepy driving and increase driving safety.

A system that can detect a driver's condition and as a result, activates one or more of the manually disabled safety features and substantially reduces chances of an accident. Additional actions to alert the driver can occur including, but not limited to, vibration of seats, pedals, and steering wheel, pumping the brakes, blasting the radio could occur. A method includes detecting driver condition of a driver, enabling one or more vehicle safety features of a vehicle and overriding disabled one or more vehicle safety features if: driver impairment is detected while detecting driver condition, and vehicle safety features have been disabled by the driver or a passenger.