### EEG Signals and Related Theoretical Research  
The human body uses its physiological organs to receive external information and transmit it to the brain. Even small stimuli can be detected in the brain waves. The frequency of human brain waves generally ranges from 1 to 30 Hz. These waves can be divided into five bands based on their frequency: delta wave \(\delta\) (0.5-3 Hz), theta-delta wave \(\delta\) (0.5-3 Hz), theta wave \(\theta\) (4-8 Hz), alpha wave \(\alpha\) (8-13 Hz), beta wave \(\beta\) (14-30 Hz), gamma wave \(\gamma\) (>30 Hz), and mu wave \(\mu\) (9-11 Hz) [8]. Among these brain waves, the \(\delta\)-wave signifies sleep, fatigue, and the subconscious state. The theta wave indicates sleepiness, deep relaxation, and the subconscious state. The gamma wave represents higher cognitive activity, which is a result of heightened neuron excitability. The alpha wave, with a frequency range of 8-13 Hz, acts as a \"frequency bridge\" connecting the conscious mind (beta) and the subconscious mind (theta). The \(\alpha\)-wave is associated with inducing a state of calmness and deep relaxation in the human body. It is commonly observed during periods of relaxation, tranquility, and wakefulness without stress. On the other hand, the \(\beta\)-wave is typically observed during alertness, cognitive activities, and focused thinking [9; 10]. Therefore, we utilize the \(\alpha\)-wave to determine if the human body is in a state of comfort and calmness: the higher the \(\alpha\) value, the more preferable it is for the human body to be in a comfortable state [8; 11]. This study introduced EEG alpha waves to quantify human comfort while incorporating subjective questionnaire evaluations hoping to further investigate the relationship between park landscape features and comfort. Multiple researchers have undertaken experiments that examine the correlation between EEG and the perception of landscapes. [PERSON] conducted a study to investigate how the color of highway landscapes affects drivers' EEG \(\alpha\) value. The results revealed that landscape color has varying degrees of impact on drivers' EEG \(\alpha\) value. Furthermore, the average value of landscape color is negatively correlated with drivers' EEG \(\alpha\) value. As the landscape color and vividness increase, the \(\alpha\) value of drivers tends to approach 1,indicating a state of equilibrium between relaxation and vigilance [12]. [PERSON] conducted an experiment where physiological indicators, such as human EEG cardiovascular, were measured by manipulating the characteristics of plants, such as color, smell, and size. The results of the EEG analysis revealed that the relative power of the EEG \(\alpha+\beta\) bands increased when participants were exposed to green plants, indicating a state of comfort [13]. [PERSON] conducted a study on the psychological and physiological effects of adolescents walking in bamboo forests versus urban environments. The findings revealed that adolescents walking in bamboo forest environments exhibited significantly higher levels of alpha waves compared to those in urban environments. Additionally, the participants reported feeling more relaxed, comfortable, and at ease, and experienced reduced anxiety after walking in bamboo forests, as indicated by the questionnaire results [14]. [PERSON] conducted an experiment where he measured the brain waves of participants while they were looking at different types of landscapes: natural and urban. The results revealed that when participants were looking at natural landscapes, their brain wave alpha values were significantly higher compared to when they were looking at urban landscapes. Additionally, the mean alpha values were higher when participants were viewing water features. These findings suggest that natural landscapes and water features have a positive impact on human mood [15]. In addition to visual landscapes, scholars have also conducted research on other sensory aspects, such as acoustics using electroencephalography (EEG).