EEG + embedded sensors anticipate driver actions – ApplySci

José del R. Millán, EPFL and Nissan researchers are using EEG to read a driver’s brain signals and send them to a smart vehicle to anticipate if the driver will accelerate, brake or change lanes. Embedded sensors also monitor its environment to help in difficult conditions.

Frontal motor cortex signals are detected using EEG and processed by the vehicle, which customizes its software accordingly, storing regular routes and driving habit data to anticipate what each driver might do at any time.

Announcing ApplySci’s 9th Wearable Tech + Digital Health + Neurotech conference. September 25, 2018 at the MIT Media Lab