A Detection of Drowsiness using EEGBased Power Spectrum Analysis

Authors

  • D. Biruntha  Department of EEE [Embedded System Technologies], Anna University, Tamilnadu, India
  • Mohan Raj  Department of EEE [Embedded System Technologies], Anna University, Tamilnadu, India
  • R. Hemalatha  Department of EEE [Embedded System Technologies], Anna University, Tamilnadu, India

Keywords:

Brainwave Sensor, Level Analyser Unit, MATLAB, Communication module-Bluetooth, BCI

Abstract

Drowsiness and lack of attention leads to accidents. These accidents can be avoided by monitoring the driver attention level and blinking status. So, in our proposed project work we are analyzing the mental activities of the brain using EEG signals from the Brain- Computer Interface (BCI) technology. This methodology consists of BCI which is the interface between the human brain and the level analyser unit. EEG electrode converts the muscular action into electrical signals and which is sensed by a brainwave sensor and wireless device i.e., BLUETOOTH which transmits the raw data to the MATLAB for level analyser unit (LAU) which analyse the entire status of the driver.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-10-30

Issue

Volume 1, Issue 5, September-October-2015

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
D. Biruntha, Mohan Raj, R. Hemalatha "A Detection of Drowsiness using EEGBased Power Spectrum Analysis" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.423-426, September-October-2015.