Abstract: A method for the identification of a person based on their past motion history and for the automatic classification of trips. The method of the present invention uses a sensor device such as a smartphone that a user/person is already carrying. Then, after traveling or reaching a specific location, the current motion data and past motion data are used to match one of several specific user profiles based on actions at the destinations and behavior prior to arrival to determine whether the person was a driver or passenger and the nature or classification of their trip.

Abstract: A method for using a sensor device such as a smartphone that a user/person already carries for recording motion data and change in location used to match one of several specific user profiles based on actions at the destinations and behavior prior to arrival. The present invention requires no ODB or beacon external connections to predict when a smartphone user is the driver or the passenger based on exit direction after arriving at a destination and validated by specific behavior in the vehicle/car. This outcome is improved over time using machine learning based on user correction of proposed status. The present invention correctly predicts a user status based on geo motion after a specific state or specific location—end location—has been reached. The method then profiles a person as “driver” or “passenger” based on persons exit direction at end of trip.