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Human–machine interfaces

Integrated devices that can recognize hand gestures

Nature Electronics volume 6, pages 555–556 (2023)Cite this article

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A skin-conformable system that is worn on the finger, and integrates optical sensors with memristors, can accurately classify finger-written inputs in three-dimensional space.

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Fig. 1: Human–machine interfaces for finger-writing motion recognition in three-dimensional space.

References

  1. Cho, H. et al. Nat. Electon. https://doi.org/10.1038/s41928-023-01012-z (2023).

    Article  Google Scholar 

  2. Schuman, C. D. et al. Nat. Comput. Sci. 2, 10–19 (2022).

    Article  Google Scholar 

  3. Zhu, M. et al. Sci. Adv. 6, eaaz8693 (2020).

    Article  Google Scholar 

  4. Kim, K. K. et al. Nat. Electron. 6, 64–75 (2023).

    Article  Google Scholar 

  5. Moin, A. et al. Nat. Electron. 4, 54–63 (2021).

    Article  Google Scholar 

  6. Wang, M. et al. Nat. Electron. 3, 563–570 (2020).

    Article  Google Scholar 

  7. Lee, Y. et al. Sci. Adv. 4, eaat7387 (2018).

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Program in Materials Science and Engineering, University of California San Diego, La Jolla, CA, USA

    Chanho Shin & Tse Nga Ng

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

    Tse Nga Ng

Authors
  1. Chanho Shin
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  2. Tse Nga Ng
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Correspondence to Tse Nga Ng.

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The authors declare no competing interests.

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Shin, C., Ng, T.N. Integrated devices that can recognize hand gestures. Nat Electron 6, 555–556 (2023). https://doi.org/10.1038/s41928-023-01003-0

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