Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Cutting-edge Piezo/Triboelectric-based Wearable Physical Sensor Platforms

  • Park, Jiwon (Electronic Materials Research Center, Korea Institute of Science and Technology (KIST)) ;
  • Shin, Joonchul (Electronic Materials Research Center, Korea Institute of Science and Technology (KIST)) ;
  • Hur, Sunghoon (Electronic Materials Research Center, Korea Institute of Science and Technology (KIST)) ;
  • Kang, Chong-Yun (Electronic Materials Research Center, Korea Institute of Science and Technology (KIST)) ;
  • Cho, Kyung-Hoon (School of Materials Science and Engineering, Kumoh National Institute of Technology) ;
  • Song, Hyun-Cheol (Electronic Materials Research Center, Korea Institute of Science and Technology (KIST))
  • Received : 2022.09.05
  • Accepted : 2022.09.29
  • Published : 2022.09.30
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Abstract

With the recent widespread implementation of Internet of Things (IoT) technology driven by Industry 4.0, self-powered sensors for wearable and implantable systems are increasingly gaining attention. Piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs), which convert biomechanical energy into electrical energy, can be considered as efficient self-powered sensor platforms. These are energy harvesters that are used as low-power energy sources. However, they can also be used as sensors when an output signal is used to sense any mechanical stimuli. For sensors, collecting high-quality data is important. However, the accuracy of sensing for practical applications is equally important. This paper provides a brief review of the performance advanced by the materials and structures of the latest PENG/TENG-based wearable sensors and intelligent applications applied using artificial intelligence (AI)

Keywords

Acknowledgement

This work was supported by the National R & D Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (NRF-2021R1C1C1009100) and the KIST Young Fellow program (2V09293). K.-H.C. would like to acknowledge support from the National Research Foundation (NRF) of Korea funded by the Ministry of Education [NRF-2018R1A6A1A03025761] and Ministry of Science and ICT (Grand Information Technology Research Center support program) [IITP-2022-2020-0-01612] supervised by the Institute for Information & Communications Technology Planning & Evaluation.

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