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ImageFlowing-Enhance Emotional Expression by Reproducing the Vital Signs of the Photographer

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Published:25 July 2022Publication History

ABSTRACT

ImageFlowing is a ‘living’ photograph that reproduces the biometric signs of the photographer. Viewers can feel how the photographer felt through photographer’s breathing, heartbeats and skin temperature. We extend a two-dimensional picture into a multi-modal experience, aiming at creating a tighter emotional link between the viewer and the photographer.

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References

  1. CHEN Jing. 2009. Research on the Emotional Design Based on Interpersonal Interaction. Art and Design (2009), 01.Google ScholarGoogle Scholar
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  3. Kristen A Lindquist. 2013. Emotions emerge from more basic psychological ingredients: A modern psychological constructionist model. Emotion Review 5, 4 (2013), 356–368.Google ScholarGoogle ScholarCross RefCross Ref
  4. Robert C Solomon. 2008. True to our feelings: What our emotions are really telling us. Oxford University Press.Google ScholarGoogle Scholar
  5. Cheng Xiefeng, Yue Wang, Shicheng Dai, Pengjun Zhao, and Qifa Liu. 2019. Heart sound signals can be used for emotion recognition. Scientific Reports 9, 1 (24 Apr 2019), 6486. https://doi.org/10.1038/s41598-019-42826-2Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Emerging Technologies
    July 2022
    23 pages
    ISBN:9781450393638
    DOI:10.1145/3532721

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 July 2022

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    • abstract
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    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate1,822of8,601submissions,21%

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