Smart ring system for measuring driver impairment levels and using machine learning techniques to predict high risk driving behavior

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)…

Steering wheel with built-in snooze alert system

A system is described with a steering wheel featuring an integrated snooze alert unit and microcontroller. It monitors steering wheel pressure, compares it to baseline data, and detects changes to assess driver drowsiness or any abnormal driving behaviors. Using a trained model and expert modules…

DRIVER FITNESS TEST

A system includes sensors that determine one or more attributes associated with associated with an occupant within a vehicle. The system includes one or more datastores, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to…

METHOD FOR PREPARING A HUMAN DRIVER TO TAKE OVER CONTROL OF A VEHICLE FROM AN AUTONOMOUS DRIVING SYSTEM, DATA PROCESSING APPARATUS, COMPUTER PROGRAM, COMPUTER-READABLE STORAGE MEDIUM, AND VEHICLE

The invention relates to a method for preparing a human driver (14) to take over control of a vehicle (10) from an autonomous driving system (12). The method comprises obtaining first data (D1) indicative of a state of the human driver (14) and/or second data (D2) indicative of a current autonomous…

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