Drowsiness detection system

• US 20090171232A1
• Filed: 05/19/2008
• Published: 07/02/2009
• Est. Priority Date: 12/28/2007
• Status: Abandoned Application

• Current Assignee: Chung-Yuan Christian University
• Original Assignee: Chung-Yuan Christian University
• Inventors: Chen, Hsin-Chang, Shyu, Liang-Yu, HU, Wei-Chih, Tsai, Pai-Yuan
• Application Number:
  US12/122,798
• Publication Number:
  US 20090171232A1
• Time in Patent Office: Days
• US Class Current: 600/545
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/372 Analysis of electroencephalograms
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

A drowsiness detection system is disclosed. The way of detection is by an EEG detection circuit to detect brain waves of a human brain for getting an EEG signal. The EEG signal is sent to a micro-controller circuit to generate a control signal. In accordance with the control signal, a processing circuit processes the EEG signal so as to learn the drowsiness state of the user in time.

Claims

1. A drowsiness detection system comprising:

an EEG detection circuit that detects a human brain to generate an EEG signal;

a micro-control circuit that receives the EEG signal and generates a control signal; and

a processing circuit that processes and identifies the EEG for obtaining drowsiness of a body according to the control signal.

2. The system as claimed is claim 1, wherein the processing circuit comprising:

a conversion unit that receives and converts the EEG signal to generate a conversion signal;

a processing unit that receives and processes the conversion signal to generate a processing signal; and

a recognition unit that receives and recognizes the processing signal for generating a detection result so as to learn the drowsiness of the body and the detection result is sent back to the micro-control circuit for output of the detection result.

3. The system as claimed is claim 2, wherein the conversion circuit is a wavelet transform circuit.

4. The system as claimed is claim 3, wherein the wavelet transform circuit is a discrete wavelet transform circuit or a stationary wavelet transform circuit.

5. The system as claimed is claim 2, wherein the processing unit processes the conversion signal is to get integral of the conversion signal.

6. The system as claimed is claim 2, wherein the processing unit processes the conversion signal is to get zero crossings (ZC) of the conversion signal.

7. The system as claimed is claim 2, wherein the system is a neural network.

8. The system as claimed is claim 7, wherein the neural network is a back propagation neural network (BPN).

9. The system as claimed is claim 1, wherein the system further comprising:

an alarm unit coupled to the micro-control circuit and once a detection result shows drowsy state of the body, the alarm unit sends a warning signal.

10. The system as claimed is claim 9, wherein the alarm unit is a light emitting device or an audio device.

11. The system as claimed is claim 10, wherein the light emitting device is a light emitting diode (LED) or a light bulb.

12. The system as claimed is claim 10, wherein the audio device is a speaker.

13. The system as claimed is claim 1, wherein a transmission interface is disposed between the micro-control circuit and the processing circuit for transmission of the control signal.

14. The system as claimed is claim 13, wherein the transmission interface is an enhanced host-port interface (EHPI).

15. The system as claimed is claim 1, wherein the system further comprising:

an analog-to-digital(A/D) conversion circuit receiving the EEG signal and converting the EEG signal into a digital EEG signal.

16. The system as claimed is claim 1, wherein the system further comprising:

an input unit coupled to the micro-control circuit for being input a selection signal to control generation of the control signal by the micro-control circuit.

17. The system as claimed is claim 16, wherein the input unit is a button.

18. The system as claimed is claim 1, wherein the EEG detection circuit comprising:

an electrode module that attaches on the human brain to detect the EEG signal generated from the human brain;

a first amplifier circuit that receives and amplifies the EEG signal;

a filter circuit that receives the EEG signal amplified by the first amplifier circuit and filters the amplified EEG signal; and

a second amplifier circuit that receives the EEG signal filtered by the filter circuit and amplifies the filtered EEG signal.

19. The system as claimed is claim 18, wherein the electrode module comprising six electrodes.

20. The system as claimed is claim 18, wherein the filter circuit comprising:

a high-pass filter that filters low frequency part of the EEG signal;

a low-pass filter that filters high frequency part of the EEG signal filtered by the high-pass filter; and

a band reject filter that filters a noise at certain frequency of the EEG signal filtered by the low-pass filter.

21. The system as claimed is claim 18, wherein the first amplifier circuit is an instrumentation amplifier.

22. The system as claimed is claim 20, wherein the low-pass filter is a Butterworth Filter.