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The Function of Color and Structure Based on EEG Features in Landscape Recognition

Author

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  • Yuting Wang

    (Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Shujian Wang

    (Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Ming Xu

    (Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475004, China)

Abstract

Both color and structure make important contributions to human visual perception, as well as the evaluation of landscape quality and landscape aesthetics. The EEG equipment liveamp32 was used to record the EEG signals of humans when viewing landscape images, structure images with filtered color, and color images with a filtered structure. The results show that the SVM classifier was the most suitable classifier for landscape classification based on EEG features. The classification accuracy of the landscape picture recognition was up to 98.3% when using beta waves, while the accuracy of the color recognition was 97.5%, and that of the structure recognition was 93.9% when using gamma waves. Secondly, color and structure played a major role in determining the alpha and gamma wave responses, respectively, for all the landscape types, including forest, desert, and water. Furthermore, structure only played a decisive role in forest, while color played a major role in desert and water when using beta waves. Lastly, statistically significant differences between landscape groups and scenario groups with regard to alpha, beta, and gamma rhythms in brain waves were confirmed. The reasonable usage and layout of structure and color will have a very important guiding value for landscape aesthetics in future landscape design and landscape planning.

Suggested Citation

  • Yuting Wang & Shujian Wang & Ming Xu, 2021. "The Function of Color and Structure Based on EEG Features in Landscape Recognition," IJERPH, MDPI, vol. 18(9), pages 1-14, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4866-:d:548301
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    References listed on IDEAS

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    1. Mintai Kim & SangHyun Cheon & Youngeun Kang, 2019. "Use of Electroencephalography (EEG) for the Analysis of Emotional Perception and Fear to Nightscapes," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    2. Sara Tilley & Chris Neale & Agnès Patuano & Steve Cinderby, 2017. "Older People’s Experiences of Mobility and Mood in an Urban Environment: A Mixed Methods Approach Using Electroencephalography (EEG) and Interviews," IJERPH, MDPI, vol. 14(2), pages 1-20, February.
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    Cited by:

    1. Yuting Wang & Shujian Wang & Ming Xu, 2022. "Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features," IJERPH, MDPI, vol. 19(2), pages 1-12, January.

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