Car driver's body motion estimation for safety driving using particle filters

Abstract

Car driver's motion estimation is important for developing safety driving systems. We propose to use particle filters for this purpose. Several sensors, such as camera to capture driver's face, velocity sensor using Doppler Effect of microwave for driver's foot motions, and microphones to record and to identify driver's voice, are placed at experimental cabin of driving simulator with three display panels. From these sensor signals, particle filters estimate the information to be obtained based on some elaborated state space models. So obtained information are gathered to server machine for making global recognition of the driver's body motion. We have implemented the data gathering system based on server-client framework on TCP/IP.