Energy scavenging artificial nervous system for detecting rotational movement

Daehwan Choi, Min Kyu Song, Taehoon Sung, Sukjin Jang, Jang Yeon Kwon

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The human sensory nervous system recognizes the change in the external environment and transmits the information to the brain. The brain uses information from the vestibular system in the head, which plays a vital role in the multisensory recognition of balance and orientation. The mimicking of human neural network systems based on biological synapses has emerged as a key technology in bioinspired electronics. This study emulates an energy scavenging artificial nervous system for detecting rotational movement to mimic the functions and mechanisms of the biological semicircular canals. Synaptic transistors realize the biological synaptic plasticity, which can be used to simulate short-to long-term memory transitions and learning processes. Furthermore, by integrating synaptic transistors with triboelectric rotation sensors, we have demonstrated that our artificial nervous system is able to detect rotational movements on the coordinates in real time. This artificial nervous system has promising applications including neurorobotics, soft electronics, and neuroprosthetics.

Original languageEnglish
Article number104912
JournalNano Energy
Volume74
DOIs
Publication statusPublished - 2020 Aug

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A2C2004864 ).

Publisher Copyright:
© 2020

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)
  • Electrical and Electronic Engineering

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