Journal ArticleDOI
Wireless body sensor networks based on metamaterial textiles
Xi Tian,Pui Mun Lee,Yu Jun Tan,Tina L. Y. Wu,Haicheng Yao,Mengying Zhang,Zhipeng Li,Kian Ann Ng,Benjamin C. K. Tee,John S. Ho +9 more
- Vol. 2, Iss: 6, pp 243-251
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TLDR
Energy-efficient and secure wireless body sensor networks that are interconnected through radio surface plasmons propagating on metamaterial textiles are reported, created by using conductive fabrics that support surface-plasmon-like modes at radio communication frequencies.Abstract:
Wireless networks of sensors, displays and smart devices that can be placed on a person’s body could have applications in health monitoring, medical interventions and human–machine interfaces. Such wireless body networks are, however, typically energy-inefficient and vulnerable to eavesdropping because they rely on radio-wave communications. Here, we report energy-efficient and secure wireless body sensor networks that are interconnected through radio surface plasmons propagating on metamaterial textiles. The approach uses clothing made from conductive fabrics that can support surface-plasmon-like modes at radio communication frequencies. Our body sensor networks enhance transmission efficiencies by three orders of magnitude compared to conventional radiative networks without the metamaterial textile, and confine wireless communication to within 10 cm of the body. We also show that the approach can offer wireless power transfer that is robust to motion and textile-based wireless touch sensing. Energy-efficient and secure wireless body sensor networks can be created by using conductive fabrics that support surface-plasmon-like modes at radio communication frequencies.read more
Citations
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Journal ArticleDOI
Large-area display textiles integrated with functional systems
Xiang Shi,Yong Zuo,Peng Zhai,Jiahao Shen,Yangyiwei Yang,Zhen Gao,Meng Liao,Jingxia Wu,Jiawei Wang,Xiaojie Xu,Qi Tong,Bo Zhang,Bingjie Wang,Xuemei Sun,Lihua Zhang,Qibing Pei,Dayong Jin,Dayong Jin,Peining Chen,Huisheng Peng +19 more
TL;DR: In this article, a 6metre-long, 25-centimetre-wide display textile containing 5 × 105 electroluminescent units spaced approximately 800 micrometres apart was constructed using conductive weft and luminescent warp fibres.
Journal ArticleDOI
Machine Learning Glove Using Self-Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications.
Feng Wen,Zhongda Sun,Tianyiyi He,Qiongfeng Shi,Minglu Zhu,Zixuan Zhang,Lianhui Li,Ting Zhang,Chengkuo Lee +8 more
TL;DR: A facile carbon nanotubes/thermoplastic elastomer (CNTs/TPE) coating approach is investigated in detail to achieve superhydrophobicity of the triboelectric textile for performance improvement and realizes a low‐cost and self‐powered interface for gesture recognition.
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Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human-Robot Interface.
TL;DR: Effective integration between the electronic components with garments, human skin, and living organisms is illustrated, presenting multifunctional platforms with self-powered potential for human-robot interactions and biomedicine.
Journal ArticleDOI
A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks
Lina Bariah,Lina Mohjazi,Sami Muhaidat,Paschalis C. Sofotasios,Gunes Karabulut Kurt,Halim Yanikomeroglu,Octavia A. Dobre +6 more
TL;DR: In this paper, the authors shed light on some of the major enabling technologies for 6G, which are expected to revolutionize the fundamental architectures of cellular networks and provide multiple homogeneous artificial intelligence-empowered services, including distributed communications, control, computing, sensing and energy, from its core to its end nodes.
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Development Trends and Perspectives of Future Sensors and MEMS/NEMS.
Jianxiong Zhu,Xinmiao Liu,Qiongfeng Shi,Tianyiyi He,Zhongda Sun,Xinge Guo,Weixin Liu,Othman Bin Sulaiman,Bowei Dong,Chengkuo Lee +9 more
TL;DR: The issues about the big data and human-machine realization for human beings’ manipulation, artificial intelligence (AI) and virtual reality (VR) technologies were finally realized using sensor nodes and its wave identification as future trends for various scenarios.
References
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