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An ultrathin conformable vibration-responsive electronic skin for quantitative vocal recognition

Author

Listed:
  • Siyoung Lee

    (Pohang University of Science and Technology)

  • Junsoo Kim

    (Pohang University of Science and Technology)

  • Inyeol Yun

    (Pohang University of Science and Technology)

  • Geun Yeol Bae

    (Pohang University of Science and Technology)

  • Daegun Kim

    (Pohang University of Science and Technology)

  • Sangsik Park

    (Pohang University of Science and Technology)

  • Il-Min Yi

    (Pohang University of Science and Technology)

  • Wonkyu Moon

    (Pohang University of Science and Technology)

  • Yoonyoung Chung

    (Pohang University of Science and Technology)

  • Kilwon Cho

    (Pohang University of Science and Technology)

Abstract

Flexible and skin-attachable vibration sensors have been studied for use as wearable voice-recognition electronics. However, the development of vibration sensors to recognize the human voice accurately with a flat frequency response, a high sensitivity, and a flexible/conformable form factor has proved a major challenge. Here, we present an ultrathin, conformable, and vibration-responsive electronic skin that detects skin acceleration, which is highly and linearly correlated with voice pressure. This device consists of a crosslinked ultrathin polymer film and a hole-patterned diaphragm structure, and senses voices quantitatively with an outstanding sensitivity of 5.5 V Pa−1 over the voice frequency range. Moreover, this ultrathin device (

Suggested Citation

  • Siyoung Lee & Junsoo Kim & Inyeol Yun & Geun Yeol Bae & Daegun Kim & Sangsik Park & Il-Min Yi & Wonkyu Moon & Yoonyoung Chung & Kilwon Cho, 2019. "An ultrathin conformable vibration-responsive electronic skin for quantitative vocal recognition," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10465-w
    DOI: 10.1038/s41467-019-10465-w
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    Cited by:

    1. Sijia Xu & Jie-Xiang Yu & Hongshuang Guo & Shu Tian & You Long & Jing Yang & Lei Zhang, 2023. "Force-induced ion generation in zwitterionic hydrogels for a sensitive silent-speech sensor," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. You Wang & Ming Zhang & Ruifen Hu & Guang Li & Nan Li, 2020. "Silent Speech Recognition for BCI - A Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 27(2), pages 20625-20627, April.
    3. Xun Zhao & Yihao Zhou & William Kwak & Aaron Li & Shaolei Wang & Marklin Dallenger & Songyue Chen & Yuqi Zhang & Allison Lium & Jun Chen, 2024. "A reconfigurable and conformal liquid sensor for ambulatory cardiac monitoring," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Jin Pyo Lee & Hanhyeok Jang & Yeonwoo Jang & Hyeonseo Song & Suwoo Lee & Pooi See Lee & Jiyun Kim, 2024. "Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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