研究目的
To develop a low cost EEG sensor for detecting voluntary eye blinks to help disabled people control home appliances, wheel chairs, and computers without depending on others.
研究成果
The developed low-cost EEG-based blink detection system shows high accuracy (98%-99%) in detecting voluntary eye blinks, enabling disabled individuals to control devices independently. The system is portable, user-friendly, and scalable for global community use, including industrial applications.
研究不足
The system's accuracy may vary among individuals, and the threshold for blink detection needs to be adjusted per subject. The current setup is tested on healthy subjects, and its effectiveness on disabled individuals needs further validation.
1:Experimental Design and Method Selection:
The methodology involves capturing brainwaves through electrodes, amplifying the signal, filtering noise, detecting blinks, and implementing a GUI for user interaction.
2:Sample Selection and Data Sources:
EEG signals are captured from healthy subjects to test the system's accuracy.
3:List of Experimental Equipment and Materials:
Includes disposable foam pad electrodes, an amplification circuit with IC AD620, a low pass filter, Arduino for signal processing, and a Raspberry Pi for the GUI.
4:Experimental Procedures and Operational Workflow:
The process involves placing electrodes on the scalp, amplifying and filtering the EEG signal, detecting blinks through threshold comparison, and using the GUI for task selection.
5:Data Analysis Methods:
The accuracy of blink detection is calculated based on the number of blinks detected versus the total number of blinks.
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