What is it about?

Temporal region is the best location for drowsy monitoring sensor location. Delta band power increased significantly from alert state to drowsy state. A threshold index can be setup to clearly discriminate drowsy state from alert state.

Featured Image

Why is it important?

Findings in the research makes a fundamental data for prototyping a vehicle based brain sensor system to monitor the metal status inducing drowsy state. Such sensor system can reduce the vehicle accident rate and save lives.

Perspectives

Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also leads to development of brain computer interface (BCI) in advanced Driving Assistant System.

Chaoyang Chen
Wayne State University

I appreciate all the co-authors' contribution to this project. This work will benefit development of wearable device which could monitor drowsy driving as a part of ADAS.

Chaofei Zhang
Tsinghua University

Read the Original

This page is a summary of: Determination of Optimal Electroencephalography Recording Locations for Detecting Drowsy Driving , IET Intelligent Transport Systems, January 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-its.2017.0083.
You can read the full text:

Read

Contributors

The following have contributed to this page