4.8 Article

Energy autonomous hybrid electronic skin with multi-modal sensing capabilities

期刊

NANO ENERGY
卷 78, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2020.105208

关键词

Electronic skin; Energy autonomous; Multi-modal sensing; Physiological monitoring; Tactile mapping

资金

  1. National Key R&D Program of China [2018YFC2000900]
  2. National Natural Science Foundation of China [51703022, 51873030]
  3. Graduate Student Innovation Fund of Donghua University [CUSF-DH-D-2019020]
  4. Natural Science Foundation of Shanghai [18ZR1402100]
  5. Shanghai Committee of Science and Technology [19QA1400100]
  6. Shanghai Municipal Science and Technology Committee of Shanghai Outstanding Academic Leaders Plan [18XD1400200]
  7. Fundamental Research Funds for the Central Universities [CUSF-DH-D-2019020, 2232020G-04, 2232020G-01]
  8. DHU Distinguished Young Professor Program [LZB2017002]

向作者/读者索取更多资源

As wearable devices to mimic the sensing capabilities of human skin, electronic skins with practical concerns of functionality and comfort start to take center stage. The heavy and bulky batteries in early designs pose flexibility and miniaturization issues. It is therefore highly desirable to develop a battery-free flexible electronic skin for multiple motion sensing. To that end, we have designed a self-powered hybrid electronic skin (HES) combining triboelectric (TB) and piezoelectric (PZ) effects to realize a wearable multi-sensing. Pressure sensitivity approaches 54.37 mV kPa(-1) and 9.80 mV kPa(-1) in the pressure range of 0-80 kPa and 80-240 kPa, respectively. The fabricated HES demonstrates excellent durability even after 14,000 periodic operation cycles. Additionally, it can measure and differentiate contact and non-contact sensing, such as click sensing, distance distinguishing, respiration detection, head motion sensing, and vocal cord vibration recognition, along with some physiological signals monitoring. As an assembled sensor array, the HES distinguishes multi-point pressure distribution and realize single-point touch trajectory visualization in real-time. In the near future, this HES could represent a critical component in smart robots, intelligent prostheses, and healthcare monitoring.

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