Near‐Sensor Reservoir Computing for Gait Recognition via a Multi‐Gate Electrolyte‐Gated Transistor

Abstract: The recent emergence of various smart wearable electronics has furnished the rapid development of human–computer interaction, medical health monitoring technologies, etc. Unfortunately, processing redundant motion and physiological data acquired by multiple wearable sensors using conventional off‐site digital computers typically result in serious latency and energy consumption problems. In this work, a multi‐gate electrolyte‐gated transistor (EGT)‐based reservoir device for efficient multi‐channel near‐sensor computing is reported. The EGT, exhibiting rich short‐term dynamics under voltage modulation, can implement nonlinear parallel integration of the time‐series signals thus extracting the temporal features such as the synchronization state and collective frequency in the inputs. The flexible EGT integrated with pressure sensors can perform on‐site gait information analysis, enabling the identification of motion behaviors and Parkinson's disease. This near‐sensor reservoir computing system offers a new route for rapid analysis of the motion and physiological signals with significantly improved efficiency and will lead to robust smart flexible wearable electronics.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Near‐Sensor Reservoir Computing for Gait Recognition via a Multi‐Gate Electrolyte‐Gated Transistor ; day:22 ; month:03 ; year:2023 ; extent:9
Advanced science ; (22.03.2023) (gesamt 9)

Urheber
Liu, Xuerong
Sun, Cui
Guo, Zhecheng
Xia, Xiangling
Jiang, Qian
Ye, Xiaoyu
Shang, Jie
Zhang, Yuejun
Zhu, Xiaojian
Li, Run‐Wei

DOI
10.1002/advs.202300471
URN
urn:nbn:de:101:1-2023032314315998000391
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 11:02 MESZ

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Beteiligte

  • Liu, Xuerong
  • Sun, Cui
  • Guo, Zhecheng
  • Xia, Xiangling
  • Jiang, Qian
  • Ye, Xiaoyu
  • Shang, Jie
  • Zhang, Yuejun
  • Zhu, Xiaojian
  • Li, Run‐Wei

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