Recognition of Empathy from Synchronization between Brain Activity and Eye Movement

Zhang, Jing; Park, Sung; Cho, Ayoung; Whang, Mincheol

doi:10.3390/s23115162

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…The raw EEG data were recorded using the real-time data acquisition SAGA system and were processed using a band-pass filter (BPF) of 1-50 Hz, and the EEG spectrum was analyzed using the fast Fourier transform (FFT) method. The EEG spectrum was divided into the following ranges according to the frequency band: delta 1-4 Hz; theta 4-8 Hz; alpha 8-13 Hz; and beta 13-20 Hz [41][42][43]. The EEG channel features were calculated using the ratio between the alpha and beta band power, as shown in Equation ( 1).…”

Section: Eeg Data Processing and Analysismentioning

confidence: 99%

Evaluation of Rural Healing Landscape DESIGN Based on Virtual Reality and Electroencephalography

Ren,

Wang,

Zhang

et al. 2024

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From the user’s perspective, emotional elements are increasingly being used in design. Researchers have indicated that healing landscapes in rural areas play a positive role in soothing human emotions. In this study, a landscape with healing functions was designed, and 32 subjects experienced emotions in a virtual reality (VR) scene while their 32-channel electroencephalography (EEG) signals were collected. This study compared the brain responses with and without the presence of healing landscape elements and conducted correlation coefficient analysis using eight different regression prediction models to examine the relationship between security, comfort, positivity, and corresponding healing landscape elements. The results show significant improvements in emotions of security, comfort, and positivity post-exposure to the landscape design, especially with certain elements, such as seating, shrubs, and tree pools. EEG data indicate enhanced emotional and cognitive states, particularly relaxation, with increased activity in specific brain regions. The decision tree regression model is the most suitable for our data. It reveals strong correlations between specific healing landscape elements and emotional responses. In the comfort category, “shrubs” show the highest correlation (R² = 0.82), while in the security category, “trees” have the highest correlation (R² = 0.77). Similarly, in the positivity category, “trees” again exhibit the highest correlation (R² = 0.71) with EEG data, indicating their significant impact on these emotional dimensions. This study demonstrates the importance of using scientific methods, such as EEG technology, to validate the principles of emotional design and also underscores the role of green environments in enhancing psychological health and emotional comfort.

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Section: Eeg Data Processing and Analysismentioning

confidence: 99%