Feng Yange, Benassi Enrico, Zhang Liqiang, Li Xiaojuan, Wang Daoai, Zhou Feng, Liu Weimin
State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China.
Qingdao Center of Resource Chemistry and New Materials, Qingdao 266100, China.
Research (Wash D C). 2021 Apr 29;2021:9870936. doi: 10.34133/2021/9870936. eCollection 2021.
With the continuous development of artificial intelligence, the demand for sensors with simple preparation and strong concealment continues to increase. However, most of the high-sensitivity sensors have complex manufacturing methods, high costs, and single functions. In this paper, a sensitive motion sensor based on the triboelectric interaction between a living plant and the human body was designed to detect the real-time movements of human beings and provide danger warning. A certain relationship exists between the triboelectric signal and the distance between the plant and the human body, with effective signals being detected in the range of 1.8 m. In addition, the triboelectric signal generated by each person is unique like a fingerprint, which can be used for biometrics. On the basis of the triboelectric signal, a wireless character entry warning system is designed. This sensor can not only send out a wireless warning signal at a specific distance but also allow one to receive the warning information synchronously on a mobile phone in real time. The wireless movement sensor receives signals through a living plant, and it has the characteristics of convenient use, strong concealment, and shielding difficulty. This sensor has the potential to be widely used in person recognition, danger warning, and motion monitoring.
随着人工智能的不断发展，对制备简单且隐蔽性强的传感器的需求持续增加。然而，大多数高灵敏度传感器制造方法复杂、成本高昂且功能单一。本文设计了一种基于活体植物与人体之间摩擦电相互作用的灵敏运动传感器，用于检测人体的实时运动并提供危险预警。摩擦电信号与植物和人体之间的距离存在一定关系，在1.8米范围内可检测到有效信号。此外，每个人产生的摩擦电信号如指纹一样独特，可用于生物识别。基于摩擦电信号，设计了一种无线字符输入预警系统。该传感器不仅能在特定距离发出无线预警信号，还能让人在手机上实时同步接收预警信息。无线运动传感器通过活体植物接收信号，具有使用方便、隐蔽性强和难以屏蔽的特点。该传感器具有在身份识别、危险预警和运动监测等方面广泛应用的潜力。
