研究目的
To develop a noncontact system to measure brain activity based on pupillary rhythms using an infra-red web camera.
研究成果
The study successfully developed a real-time system that could detect an EEG spectral index from pupillary rhythms using the synchronization phenomenon in harmonic frequency between the pupil and brain oscillations. This method was effective in measuring and evaluating brain activity using a simple, low-cost, noncontact system.
研究不足
Pupillary response is strongly influenced by blinking and ambient light. The method cannot directly measure brain activity during blinking periods. Additionally, the proposed method may be vulnerable to errors in rapid light alterations.
1:Experimental Design and Method Selection:
The study involved measuring EEG signals and pupil imaging of 70 undergraduate volunteers in response to sound stimuli designed to evoke arousal, relaxation, happiness, sadness, or neutral responses. The experiment involved reference and main-task stimuli with sound stimuli presented in random order.
2:Sample Selection and Data Sources:
Seventy undergraduate volunteers (35 male, 35 female), ranging in age from 22 to 28 years, participated. All participants had normal or corrected-to-normal vision and no family or medical history of disease affecting their visual functionality or central nervous system.
3:List of Experimental Equipment and Materials:
EEG device (202, Mitsar Inc., Russia), IR camera (GS3-U3-23S6M-C, Point Gray Research Inc., Canada), and a personal computer for analysis.
4:Experimental Procedures and Operational Workflow:
Pupil imaging and EEG signals were measured simultaneously during the experiment. Pupil area was calculated using binarization with a threshold value and circular edge detection algorithm.
5:Data Analysis Methods:
EEG signals were processed using a band pass filter and analyzed using a fast Fourier transform method. Pupil diameter was processed using the sliding moving average and band pass filtered into separate frequency bands.
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