Color design of modern architectural interior space based on environmental psychology
Due to the diversified development trend of modern architectural design, the functional design and application of houses are being presented in the interior space color layout of houses with its many advantages of interactivity, comprehensiveness, multi-functionality, and personalization. With this...
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Format: | Article |
Language: | English |
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Sciendo
2024-01-01
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Series: | Applied Mathematics and Nonlinear Sciences |
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Online Access: | https://doi.org/10.2478/amns.2023.1.00259 |
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author | Feng Wei Gao Dan Guo Yacong Gu Yu |
author_facet | Feng Wei Gao Dan Guo Yacong Gu Yu |
author_sort | Feng Wei |
collection | DOAJ |
description | Due to the diversified development trend of modern architectural design, the functional design and application of houses are being presented in the interior space color layout of houses with its many advantages of interactivity, comprehensiveness, multi-functionality, and personalization. With this as the starting point, this paper analyzes the psychological perception of survey respondents on the same spatial color through big data, converts the perception into EEG signal for decoding, and after the decoding process of EEG data pre-processing, feature extraction, feature identification, and classification, calculates the significance of each element in the time-frequency matrix, which can get a homo-dimensional mask matrix. Then the conditional random field model is established on the random field theory to get the parameters of the model. Finally, the parameters of the model are obtained by maximizing the following entropy function, which is brought into the Lagrangian operator to obtain the pairwise Lagrangian operator. Finally, the EEG signal is decoded to realize the self-control training of color perception under different mentalities. The experimental results showed that by performing the intervention test on self-control and color insight, the mean value of the total self-control score in training was 61.99±11.45, and the intervention effect had stability. Therefore, improving self-control ability and forming correct tendency psychological perception plays a vital role in the color design of architectural space. |
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id | doaj.art-4a39dda2a21d487483d7c516e5d855bf |
institution | Directory Open Access Journal |
issn | 2444-8656 |
language | English |
last_indexed | 2024-03-08T10:09:39Z |
publishDate | 2024-01-01 |
publisher | Sciendo |
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series | Applied Mathematics and Nonlinear Sciences |
spelling | doaj.art-4a39dda2a21d487483d7c516e5d855bf2024-01-29T08:52:27ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00259Color design of modern architectural interior space based on environmental psychologyFeng Wei0Gao Dan1Guo Yacong2Gu Yu31Department of Environmental Design, School of Architecture and design, Hebei Institute of Engineering and Technology, Shijiazhuang, Hebei, 050091, China1Department of Environmental Design, School of Architecture and design, Hebei Institute of Engineering and Technology, Shijiazhuang, Hebei, 050091, China1Department of Environmental Design, School of Architecture and design, Hebei Institute of Engineering and Technology, Shijiazhuang, Hebei, 050091, China1Department of Environmental Design, School of Architecture and design, Hebei Institute of Engineering and Technology, Shijiazhuang, Hebei, 050091, ChinaDue to the diversified development trend of modern architectural design, the functional design and application of houses are being presented in the interior space color layout of houses with its many advantages of interactivity, comprehensiveness, multi-functionality, and personalization. With this as the starting point, this paper analyzes the psychological perception of survey respondents on the same spatial color through big data, converts the perception into EEG signal for decoding, and after the decoding process of EEG data pre-processing, feature extraction, feature identification, and classification, calculates the significance of each element in the time-frequency matrix, which can get a homo-dimensional mask matrix. Then the conditional random field model is established on the random field theory to get the parameters of the model. Finally, the parameters of the model are obtained by maximizing the following entropy function, which is brought into the Lagrangian operator to obtain the pairwise Lagrangian operator. Finally, the EEG signal is decoded to realize the self-control training of color perception under different mentalities. The experimental results showed that by performing the intervention test on self-control and color insight, the mean value of the total self-control score in training was 61.99±11.45, and the intervention effect had stability. Therefore, improving self-control ability and forming correct tendency psychological perception plays a vital role in the color design of architectural space.https://doi.org/10.2478/amns.2023.1.00259modern architectural designinterior space colorpsychological perceptioneeg signalcolor insight91e30 |
spellingShingle | Feng Wei Gao Dan Guo Yacong Gu Yu Color design of modern architectural interior space based on environmental psychology Applied Mathematics and Nonlinear Sciences modern architectural design interior space color psychological perception eeg signal color insight 91e30 |
title | Color design of modern architectural interior space based on environmental psychology |
title_full | Color design of modern architectural interior space based on environmental psychology |
title_fullStr | Color design of modern architectural interior space based on environmental psychology |
title_full_unstemmed | Color design of modern architectural interior space based on environmental psychology |
title_short | Color design of modern architectural interior space based on environmental psychology |
title_sort | color design of modern architectural interior space based on environmental psychology |
topic | modern architectural design interior space color psychological perception eeg signal color insight 91e30 |
url | https://doi.org/10.2478/amns.2023.1.00259 |
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