Applying deep learning to distinguish drivers from passengers using sensor data Sentiance

We first introduce the concept of driver DNA: a unique driving behavior profile, a fingerprint that is specific only to that driver. In order to derive that driver DNA we first need to extract meaningful features from individual car trips. Later on we aggregate features over many trips to derive a general driving profile. The source of the data is the mobile phone's accelerometer and gyroscope sensors. From the raw signal we derive the longitudinal and lateral accelerations of the car as well as its yaw or angular velocity in the vertical axis (Figure 1).