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Computer Graphics International Conference

CGI 2022: Advances in Computer Graphics pp 395–406Cite as

Augmented Reality-Based Home Interaction Layout and Evaluation

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13443))

Abstract

This paper proposes an indoor scene layout interactive assessment method based on augmented reality (AR) to solve the problems of lacking an intuitive and systematic assessment of indoor scene layout and inefficient human moving for layout readjustment. This paper evaluates the indoor layout from accessibility, ventilation, and illumination and proposes the home interactive evaluation system AR-IHES (Augmented Reality Based Interactive Home Evaluation System) to give evaluation opinions and layout adjustment methods. The accessibility is assessed by using an avatar free-roaming in the scene, ventilation by simulating the natural wind field with a particle system, and illumination by calculating the cumulative influence of each light source at each point of the room. Then, we project the layout into AR, and users wearing AR devices obtain rich evaluation opinions, and freely adjust the design through gestures. The experimental results show that the assessment method can provide real-time feedback of objective and scientific evaluation results and provide users with corresponding modification opinions, which solve both the problems of tricky indoor scene layout evaluation and inefficient adjustment.

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Acknowledgements

This research was partially supported by the National Key R&D Program of China (No. 2020YFC1523302), National Nature Science Foundation of China (No. 61972041, No. 62072045), and Innovation & Transfer Fund of Peking University Third Hospital (No. BYSYZHKC2021110).

Author information

Authors and Affiliations

  1. Beijing Normal University, Beijing, 100875, China

    Ningxin Chen, Zheng Lu, Xinhui Yu, Liuming Yang, Pengfei Xu & Yachun Fan

Authors
  1. Ningxin Chen
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  2. Zheng Lu
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  3. Xinhui Yu
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  4. Liuming Yang
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  5. Pengfei Xu
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  6. Yachun Fan
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Corresponding author

Correspondence to Pengfei Xu .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Nadia Magnenat-Thalmann

  2. Bournemouth University, Poole, UK

    Jian Zhang

  3. University of Sydney, Sydney, NSW, Australia

    Jinman Kim

  4. University of Crete, Heraklion, Greece

    George Papagiannakis

  5. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  6. Swiss Federal Institute of Technology, Lausanne, Switzerland

    Daniel Thalmann

  7. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Chen, N., Lu, Z., Yu, X., Yang, L., Xu, P., Fan, Y. (2022). Augmented Reality-Based Home Interaction Layout and Evaluation. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2022. Lecture Notes in Computer Science, vol 13443. Springer, Cham. https://doi.org/10.1007/978-3-031-23473-6_31

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  • DOI: https://doi.org/10.1007/978-3-031-23473-6_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23472-9

  • Online ISBN: 978-3-031-23473-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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