New blind navigation sensor based on triboelectrification and electrostatic induction | |
Department | 固体润滑国家重点实验室(LSL) |
Shu Peng1,4; Yange Feng2,3; Ying Liu1; Min Feng2,3; Zishuai Wu4,5; Jiahui Cheng4; Zhitao Zhang1,4; Yongjian Liu1,4; Ruilin Shen4; Daoai Wang2,3 | |
The second department | 摩擦物理与传感研究组 |
2022 | |
Source Publication | Nano Energy |
Volume | 104Issue:无Pages:107899 |
Abstract | Triboelectric Nanogenerators (TENGs) have recently gotten a lot of attention in the realm of human mobility. Wearable TENGs can currently be employed for human motion detection and energy harvesting, as is shown by recent studies. However, the majority of these TENGs are used in direct contact with the human body, posing a great challenge for TENGs materials in terms of comfort, breathability, wear resistance, and flexibility. This manuscript presents a novel form of non-contact motion monitoring sensor, which has been designed based on triboelectrification and electrostatic induction. As the designed sensor requires only copper and PTFE materials, it reduces the manufacturing costs. The sensor does not need to be in direct contact with the person to sense the person’s approach and distance. The working principle and other factors influencing the functioning of noncontact TENGs are also investigated. This sensor can effectively detect signals within two meters, with the current signal reaching a value of 57 nA at a distance of 20 cm. More crucially, the sensor’s distance resolution can be accurate up to 1 cm, which is critical for sensing the human body’s approach and distance. Based on this, a simple-to-manufacture, highly sensitive, and easy-to-use intelligent navigation sensor for blind navigation is designed, which can assist blind people in avoiding obstacles effectively. This simple, easy-to-prepare, and efficient TENG and sensing system shows up-and-coming prospects in motion sensing and hazard warning applications. |
Indexed By | SCI |
If | 19.069 |
Language | 英语 |
compositor | 第二作者单位 |
Document Type | 期刊论文 |
Identifier | http://ir.licp.cn/handle/362003/29903 |
Collection | 固体润滑国家重点实验室(LSL) 青岛研发中心/青岛市资源化学与新材料研究中心 |
Corresponding Author | Yange Feng; Ying Liu; Daoai Wang |
Affiliation | 1.Institute of Materials Science and Engineering, Ocean University of China, Qingdao 266100, China 2.Center of Materials Sciences and Opto-Electronic Technology University of Chinese Academy of Sciences, Beijing 100049, China 3.State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China 4.Qingdao Center of Resource Chemistry and New Materials, Qingdao 266100, China 5.State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China |
Recommended Citation GB/T 7714 | Shu Peng,Yange Feng,Ying Liu,et al. New blind navigation sensor based on triboelectrification and electrostatic induction[J]. Nano Energy,2022,104(无):107899. |
APA | Shu Peng.,Yange Feng.,Ying Liu.,Min Feng.,Zishuai Wu.,...&Daoai Wang.(2022).New blind navigation sensor based on triboelectrification and electrostatic induction.Nano Energy,104(无),107899. |
MLA | Shu Peng,et al."New blind navigation sensor based on triboelectrification and electrostatic induction".Nano Energy 104.无(2022):107899. |
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彭树-NE.pdf(8592KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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