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Title: An artificial peripheral neural system based on highly stretchable and integrated multifunctional sensors
Authors: Liao, Xinqin
Song, Weitao
Zhang, Xiangyu
Jin, Haoran
Liu, Siyu
Wang, Yongtian
Thean, Aaron Voon-Yew
Zheng, Yuanjin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Liao, X., Song, W., Zhang, X., Jin, H., Liu, S., Wang, Y., Thean, A. V. & Zheng, Y. (2021). An artificial peripheral neural system based on highly stretchable and integrated multifunctional sensors. Advanced Functional Materials, 31(24), 2101107-.
Project: NRF-RSS2015-003
Journal: Advanced Functional Materials
Abstract: Prostheses and robots have been affecting all aspects of life. Making them conscious and intelligent like humans is appealing and exciting, while there is a huge contrast between progress and strong demand. An alternative strategy is to develop an artificial peripheral neural system with high-performance bionic receptors. Here, a novel functional composite material that can serve as a key ingredient to simultaneously construct different artificial exteroceptive sensors (AE sensors) and artificial proprioceptive sensors (AP sensors) is demonstrated. Both AP sensors and AE sensors demonstrate outstandingly high stretchability; up to 200% stretching strain and possess the superior performance of fast response and high stability. An artificial peripheral neural system integrated with the highly stretchable AP sensor and AE sensor is constructed, which makes a significant breakthrough in the perception foundation of efficient proprioception and exteroception for intelligent prostheses and soft robots. Accurate feedback on the activities of body parts, music control, game manipulation, and wireless typing manifest the enormous superiority of the spatiotemporal resolution function of the artificial peripheral neural system, all of which powerfully contribute to promoting intelligent prostheses and soft robots into sophistication, and are expected to make lives more fascinating.
ISSN: 1616-301X
DOI: 10.1002/adfm.202101107
Schools: School of Electrical and Electronic Engineering 
Rights: © 2021 Wiley-VCH GmbH. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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