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多重氢键使用于人机交互的传感器具有自修复能力。

Multiple Hydrogen Bonding Enables the Self-Healing of Sensors for Human-Machine Interactions.

机构信息

State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu, 610065, China.

College of Computer and Software, Sichuan University Jincheng College, Chengdu, 610065, China.

出版信息

Angew Chem Int Ed Engl. 2017 Jul 17;56(30):8795-8800. doi: 10.1002/anie.201704217. Epub 2017 Jun 14.

DOI:10.1002/anie.201704217
PMID:28544097
Abstract

Despite its widespread use in signal collection, flexible sensors have been rarely used in human-machine interactions owing to its indistinguishable signal, poor reliability, and poor stability when inflicted with unavoidable scratches and/or mechanical cuts. A highly sensitive and self-healing sensor enabled by multiple hydrogen bonding network and nanostructured conductive network is demonstrated. The nanostructured supramolecular sensor displays extremely fast (ca. 15 s) and repeatable self-healing ability with high healing efficiency (93 % after the third healing process). It can precisely detect tiny human motions, demonstrating highly distinguishable and reliable signals even after cutting-healing and bending over 20 000 cycles. Furthermore, a human-machine interaction system is integrated to develop a facial expression control system and an electronic larynx, aiming to control the robot to assist the patient's daily life and help the mute to realize real-time speaking.

摘要

尽管在信号采集方面得到了广泛应用,但由于其信号无法区分、可靠性差以及在受到不可避免的划伤和/或机械切割时稳定性差,柔性传感器在人机交互中很少被使用。本文展示了一种由多重氢键网络和纳米结构导电网络实现的高灵敏度和自修复传感器。该纳米结构超分子传感器具有极快(约 15 秒)和可重复的自修复能力,修复效率高(第三次修复后达 93%)。它可以精确地检测微小的人体运动,即使在切割-修复和弯曲超过 20000 次循环后,也能显示出高度可区分和可靠的信号。此外,还集成了人机交互系统,开发了面部表情控制系统和电子喉,旨在控制机器人辅助患者的日常生活,帮助哑巴实现实时说话。

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