Stretchable Motion Memory Devices Based on Mechanical Hybrid Materials

Yaqing Liu, Zhiyuan Liu, Bowen Zhu, Jiancan Yu, Ke He, Wan Ru Leow, Ming Wang, Bevita K. Chandran, Dianpeng Qi, Hong Wang, Geng Chen, Cai Xu, Xiaodong Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)

Abstract

Animals possess various functional systems such as sensory, nervous, and motor systems, which show effective cooperation in order to realize complicated and intelligent behaviors. This inspires rational designs for the integration of individual electronic devices to exhibit a series of functions, such as sensing, memory, and feedback. Inspired by the fact that humans can monitor and memorize various body motions, a motion memory device is developed to mimic this biological process. In this work, mechanical hybrid substrates are introduced, in which rigid memory devices and stretchable strain sensors are integrated into a single module, which enables them to work cooperatively in the wearable state. When attached to the joints of limbs, the motion memory device can detect the deformations caused by limb motions and simultaneously store the corresponding information in the memory device. This work would be valuable in materials design and electronics technology toward the realization of wearable and multifunctional electronic modules.

Original languageEnglish
Article number1701780
JournalAdvanced Materials
Volume29
Issue number34
DOIs
Publication statusPublished - Sept 13 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

ASJC Scopus Subject Areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

Keywords

  • human motion
  • mechanically hybrid substrates
  • motion memory devices
  • strain sensors
  • wearable electronics

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