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Conductive Porous MXene for Bionic, Wearable, and Precise Gesture Motion Sensors
Author(s) -
Shengshun Duan,
Yucheng Lin,
Zhehan Wang,
Junyi Tang,
Yinhui Li,
Di Zhu,
Jun Wu,
Li Tao,
ChangHwan Choi,
Litao Sun,
Jun Xia,
Wei Lei,
Baoping Wang
Publication year - 2021
Publication title -
research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.8
H-Index - 16
ISSN - 2639-5274
DOI - 10.34133/2021/9861467
Subject(s) - computer science , sensitivity (control systems) , wearable computer , wearable technology , materials science , acoustics , vibration , gesture , artificial intelligence , engineering , physics , electronic engineering , embedded system
Reliable, wide range, and highly sensitive joint movement monitoring is essential for training activities, human behavior analysis, and human-machine interfaces. Yet, most current motion sensors work on the nano/microcracks induced by the tensile deformation on the convex surface of joints during joint movements, which cannot satisfy requirements of ultrawide detectable angle range, high angle sensitivity, conformability, and consistence under cyclic movements. In nature, scorpions sense small vibrations by allowing for compression strain conversion from external mechanical vibrations through crack-shaped slit sensilla. Here, we demonstrated that ultraconformal sensors based on controlled slit structures, inspired by the geometry of a scorpion's slit sensilla, exhibit high sensitivity (0.45%deg −1 ), ultralow angle detection threshold (~15°), fast response/relaxation times (115/72 ms), wide range (15° ~120°), and durability (over 1000 cycles). Also, a user-friendly, hybrid sign language system has been developed to realize Chinese and American sign language recognition and feedback through video and speech broadcasts, making these conformal motion sensors promising candidates for joint movement monitoring in wearable electronics and robotics technology.

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