Development of wireless brain computer interface with embedded multitask scheduling and its application on real-time driver's drowsiness detection and warning

Chin Teng Lin, Yu Chieh Chen, Teng Yi Huang, Tien Ting Chiu, Li Wei Ko, Sheng Fu Liang, Hung Yi Hsieh, Shang Hwa Hsu, Jeng Ren Duann

Research output: Contribution to journalArticle

123 Citations (Scopus)

Abstract

Biomedical signal monitoring systems have been rapidly advanced with electronic and information technologies in recent years. However, most of the existing physiological signal monitoring systems can only record the signals without the capability of automatic analysis. In this paper, we proposed a novel brain-computer interface (BCI) system that can acquire and analyze electroencephalogram (EEG) signals in real-time to monitor human physiological as well as cognitive states, and, in turn, provide warning signals to the users when needed. The BCI system consists of a four-channel biosignal acquisition/amplification module, a wireless transmission module, a dual-core signal processing unit, and a host system for display and storage. The embedded dual-core processing system with multitask scheduling capability was proposed to acquire and process the input EEG signals in real time. In addition, the wireless transmission module, which eliminates the inconvenience of wiring, can be switched between radio frequency (RF) and Bluetooth according to the transmission distance. Finally, the real-time EEG-based drowsiness monitoring and warning algorithms were implemented and integrated into the system to close the loop of the BCI system. The practical online testing demonstrates the feasibility of using the proposed system with the ability of real-time processing, automatic analysis, and online warning feedback in real-world operation and living environments.

Original languageEnglish
Pages (from-to)1582-1591
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume55
Issue number5
DOIs
Publication statusPublished - 2008 May 1

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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