Samsung’s efforts in the self-driving automotive industry appear poised to continue growing, based on a recent patent for a new autonomous driver training model published by WIPO. The patent itself applies primarily to an ‘apparatus’ and methodology for training a self-driving vehicle’s AI that utilizes machine learning and a combination of human driver metrics and traditional sensor information. The data for the former is tracked and pulled from several sources within the vehicle itself while a human is in control. That includes information such as grip strength and positioning taken from the steering wheel and brake or throttle pedal movement. However, it also seems to include headset-gathered metrics, with Samsung explicitly indicating measurements taken via eye-tracking and a brain-wave electrocardiogram. The former of those is self-explanatory but the latter is more closely related to and encompasses technologies more often associated with EKG, ECG, or EEG measurements taken in a medical setting.