IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i9p4866-d548301.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/9/4866/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/9/4866/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xinman Wang & Baoqi Che & Qi Lou & Rong Zhu, 2024. "Integrated Eye-Tracking Response Surface Analysis to Optimize the Design of Garden Landscapes," Land, MDPI, vol. 13(7), pages 1-23, July.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zijiao Zhang & Kangfu Zhuo & Wenhan Wei & Fu Li & Jie Yin & Liyan Xu, 2021. "Emotional Responses to the Visual Patterns of Urban Streets: Evidence from Physiological and Subjective Indicators," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    2. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    3. Ben Senkler & Julius Freymueller & Susanne Lopez Lumbi & Claudia Hornberg & Hannah-Lea Schmid & Kristina Hennig-Fast & Gernot Horstmann & Timothy Mc Call, 2022. "Urbanicity—Perspectives from Neuroscience and Public Health: A Scoping Review," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    4. Junfang Xie & Binyi Liu & Mohamed Elsadek, 2021. "How Can Flowers and Their Colors Promote Individuals’ Physiological and Psychological States during the COVID-19 Lockdown?," IJERPH, MDPI, vol. 18(19), pages 1-15, September.
    5. Marica Cassarino & Eleanor Bantry-White & Annalisa Setti, 2019. "Cognitive and Sensory Dimensions of Older People’s Preferences of Outdoor Spaces for Walking: A Survey Study in Ireland," IJERPH, MDPI, vol. 16(8), pages 1-12, April.
    6. Chongxian Chen & Weijing Luo & Ning Kang & Haiwei Li & Xiaohao Yang & Yu Xia, 2020. "Serial Mediation of Environmental Preference and Place Attachment in the Relationship between Perceived Street Walkability and Mood of the Elderly," IJERPH, MDPI, vol. 17(13), pages 1-18, June.
    7. Carmen Llinares & Juan Luis Higuera-Trujillo & Antoni Montañana & Nuria Castilla, 2020. "Improving the Pedestrian’s Perceptions of Safety on Street Crossings. Psychological and Neurophysiological Effects of Traffic Lanes, Artificial Lighting, and Vegetation," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
    8. Marcia G. Ory & Matthew Lee Smith, 2017. "What If Healthy Aging Is the ‘New Normal’?," IJERPH, MDPI, vol. 14(11), pages 1-5, November.
    9. 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.
    10. Tianrong Xu & Nikmatul Adha Nordin & Ainoriza Mohd Aini, 2022. "Urban Green Space and Subjective Well-Being of Older People: A Systematic Literature Review," IJERPH, MDPI, vol. 19(21), pages 1-29, October.
    11. Charlotte Wendelboe-Nelson & Sarah Kelly & Marion Kennedy & John W. Cherrie, 2019. "A Scoping Review Mapping Research on Green Space and Associated Mental Health Benefits," IJERPH, MDPI, vol. 16(12), pages 1-49, June.
    12. SangHyun Cheon & Soyoung Han & Mintai Kim & Yoonku Kwon, 2019. "Comparison between Daytime and Nighttime Scenery Focusing on Restorative and Recovery Effect," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    13. Juan Du & Jiali Yin & Xiaomei Chen & Ahmad Hassan & Erkang Fu & Xi Li, 2022. "Electroencephalography (EEG)-Based Neural Emotional Response to Flower Arrangements (FAs) on Normal Elderly (NE) and Cognitively Impaired Elderly (CIE)," IJERPH, MDPI, vol. 19(7), pages 1-9, March.
    14. Rebecca Reece & Anna Bornioli & Isabelle Bray & Nigel Newbutt & David Satenstein & Chris Alford, 2022. "Exposure to Green, Blue and Historic Environments and Mental Well-Being: A Comparison between Virtual Reality Head-Mounted Display and Flat Screen Exposure," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    15. Yuting Wang & Ming Xu, 2021. "Electroencephalogram Application for the Analysis of Stress Relief in the Seasonal Landscape," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    16. Tianjiao Yan & Hong Leng & Qing Yuan, 2023. "The Effects of Winter Parks in Cold Regions on Cognition Recovery and Emotion Improvement of Older Adults: An Empirical Study of Changchun Parks," IJERPH, MDPI, vol. 20(3), pages 1-17, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4866-:d:548301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.