• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.50 no.2
• /
• pp.163-170
• /
• 2024

In the literature, inhalation of cosmetic fragrances, including natural extracts or natural essential oils, has been reported to induce brainwave changes. Angelica gigas (AG) and Cnidium officinale (CO) are widely used in East Asian countries as traditional medicines to improve health, but there have been no previous reports of inhaling their aromas and assessing changes in brain activity through electroencephalogram (EEG) recordings. In this study, the scent of natural herbal extracts such as Artemisia princeps var. orientalis (Compositae), AG, and CO was inhaled and evaluated whether emotional state changes were caused by olfactory stimuli, and brain activity was confirmed through EEG records before and after inhaling the scent of natural herbal extracts in subjects aged 20 to 30. We also used an electrocardiogram (ECG) to record the electrical activity of the heart during fragrance administration. The test results indicated that inhaling the scents of Compositae, AG, and CO extracts, as well as the positive control lavender, significantly increased the relative alpha power and the alpha/beta ratio of brain waves across the brain regions. The ECG recordings indicated that the inhalation of Compositae fragrance significantly decreased the low-frequency/high-frequency ratio, and that the inhalation of traditional herbal extract fragrances resulted in comfort and relaxation.

• Child Health Nursing Research
• /
• v.14 no.3
• /
• pp.315-324
• /
• 2008

Purpose: This study was done to determine the effects of a neurofeedback program on brain function and stress in occupational high school students. Method: A nonequivalent control group, non-synchronized with pre-posttest design was used with 62 students. Data collection was done from July to December, 2007. The neurofeedback training was given for 30 minutes at a time, three times a week for 12 weeks. Brain function was measured by brain waves in the frontal lobes of the students and analyzed by eight brain quotients characterizing patterns of EEG rhythms. The instrument used to measure stress was a scale for stress from regular daily life. Results: After neurofeedback training, the level of brain quotients in students in the experiment group increased(t=2.36, p<.05) and the level of stress decreased(t=-3.59, p<.001). Conclusion: The results of the study suggested that a neurofeedback program is effective for brain function improvement and stress reduction in high school students. Therefore, the conclusion of this study is that neurofeedback programs can be useful to increase brain function and decrease stress in occupational high school students.

• Journal of Korea Game Society
• /
• v.17 no.6
• /
• pp.189-198
• /
• 2017

The purpose of this study is to investigate the relationship between smoking attitudes and psychophysiological variables and to find out whether smoking cessation activities can be helpful for smoking cessation. We set up Negative Attitudes experience as a dependent variable. Several factors including Psychological Resistance, Psychological Distress and brainwave(Left brain ${\theta}$, Right Brain ${\theta}$) as a physiological indicator, which was expected to affect flow, were set up as independent variables to perform regression analysis. As a result, psychological resistance had negative influences on negative attitudes toward smoking in smoking simulation game and psychological distress had positive effect. And left brain ${\theta}$ had negative influences on negative attitudes toward smoking in smoking simulation game and right brain ${\theta}$ had positive effect.

• Journal of Korea Game Society
• /
• v.17 no.2
• /
• pp.165-174
• /
• 2017

This research was conducted to find out determinant variables which can influence the degree of flow in smoking simulation game. We set up flow experience as a dependent variable. Several factors including empathy, health concern, and brainwave(${\alpha}$, ${\beta}$) EEG(Electroencephalogram) as a physiological indicator, which was expected to affect flow, were set up as independent variables to perform regression analysis. As a result, empathy, health consciousness, and ${\beta}$ wave had positive influences on flow in smoking simulation game but ${\alpha}$ wave had negative effect. This research empirically analyzed users' experience and neurophysiological changes which can influence on flow in serious game and contributed to theoretical and methodological development in health-related game research.

• Journal of Convergence for Information Technology
• /
• v.9 no.12
• /
• pp.8-16
• /
• 2019

Customized sleep care service needs to be provided differently for individuals since individual has different degree of sleep disorder. Because the brainwave data shows unique waveform characteristics for each person, this characteristic can be used to identify individuals. Personal identification provides an important role in enabling customized services. When you blink, you can obtain brain wave characteristics by measuring the area of the frontal lobe. Therefore, a real-time personal identification algorithm based on blinking EOG for customized sleep care service is proposed in this paper. For evaluation, 10 individuals were tested for personal identification accuracy. The results of the experiment confirmed that a maximum accuracy of 93% were taken. Algorithms can be developed by reflecting characteristics such as changes in the external environment in the future.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.6
• /
• pp.519-525
• /
• 2023

The human brain constantly emits electrical impulses, which is called brain waves, and brain waves can be defined as the electrical activity of the brain generated by the flow of ions generated by the biochemical interaction of brain cells. There is a study that emotion is one of the factors that can cause stress. Brain waves are the most used in the study of emotions. This paper is a study on whether emotions affect stress, and showed two images of fear and joy to four experimenters and divided them into three stages before, during, and after watching. As a measurement tool, brain waves at the positions of Fp1 and Fp2 were measured using the NeuroBrain System, a system that can automate brain wave measurement, analysis, brain wave reinforcement, and suppression training with remote control. After obtaining the brain wave data for each emotion, the average value was calculated and the study was conducted. As for the frequency related to stress, the values of Alpha and SMR, Low Beta, and High Beta were analyzed. Brainwave analysis affects stress depending on the emotional state, and "fear" emotions cause anxiety by raising Beta levels, resulting in higher Mind Stress levels, while "joy" emotions lower Beta levels, resulting in a significant drop in Mind Stress.