New blind navigation sensor based on triboelectrification and electrostatic induction
文献类型:期刊论文
作者 | Shu Peng2,5; Yange Feng3,4; Ying Liu5; Min Feng3,4; Zishuai Wu1,2; Jiahui Cheng2; Zhitao Zhang2,5; Yongjian Liu2,5; Ruilin Shen2; Daoai Wang3,4![]() |
刊名 | Nano Energy
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出版日期 | 2022 |
卷号 | 104期号:无页码:107899 |
英文摘要 | 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 non contact 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. |
语种 | 英语 |
源URL | [http://ir.licp.cn/handle/362003/29903] ![]() |
专题 | 兰州化学物理研究所_固体润滑国家重点实验室 兰州化学物理研究所_青岛研发中心/青岛市资源化学与新材料研究中心 |
通讯作者 | Yange Feng; Ying Liu; Daoai Wang |
作者单位 | 1.State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China 2.Qingdao Center of Resource Chemistry and New Materials, Qingdao 266100, China 3.State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China 4.Center of Materials Sciences and Opto-Electronic Technology University of Chinese Academy of Sciences, Beijing 100049, China 5.Institute of Materials Science and Engineering, Ocean University of China, Qingdao 266100, China |
推荐引用方式 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. |
入库方式: OAI收割
来源:兰州化学物理研究所
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