The development of driver warning algorithm for safety driving support

In this paper, we proposed a novel algorithm based on fuzzy model using both integrated HVI data (face and bio-signal) and in-vehicle data (turn signal etc.) in order to detect drowsiness and distracted driving, nonfulfillment of safety distance, and lane departure warning. Also, the proposed algorithm was implementation to the integrated ECU. From experiment results, our proposed algorithm will be able to detect driver warning situation.