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Deciphering facial movements

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Wearable piezoelectric thin films integrated with multiphysics modelling and three-dimensional digital image correlation can decode facial expressions in real time.

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Fig. 1: An integrated system for decoding facial strains and for the prediction of facial kinematics.

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Author information

Authors and Affiliations

  1. Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA

    Xiaoxiang Gao & Sheng Xu

  2. Material Science and Engineering Program, University of California San Diego, La Jolla, CA, USA

    Xiangjun Chen & Sheng Xu

  3. Department of Bioengineering, University of California San Diego, La Jolla, CA, USA

    Sheng Xu

  4. Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA

    Sheng Xu

Authors
  1. Xiaoxiang Gao
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  2. Xiangjun Chen
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  3. Sheng Xu
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Corresponding author

Correspondence to Sheng Xu.

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The authors declare no competing interests.

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Gao, X., Chen, X. & Xu, S. Deciphering facial movements. Nat Biomed Eng 4, 935–936 (2020). https://doi.org/10.1038/s41551-020-00629-1

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