Recently, the Wang Xin research group of the Provincial Key Laboratory of Photovoltaic Materials has made important progress in the research of flexible high-resolution real-time tactile imaging based on the triboelectric effect, with the "Flexible High-Resolution Triboelectric Sensor Array Based on Patterned Laser Induced Graphene for Self- "Powered Real-Time Tactile Sensing" was published in the top international journal Advanced Functional Materials (impact factor: 16.83), the link to the paper:https://doi.org/10.1002/adfm.202100709
The rapid development of artificial intelligence and the Internet of Things has promoted people's great demand for wearable electronic devices, which will have great application potential in the fields of intelligent robots, electronic skin, and human health monitoring. For the current construction of array tactile sensor devices, there are technical defects such as complexity, high cost, and expensive equipment. For the first time, Wang Xin’s research group used simple, low-cost, high-efficiency, and arbitrary patterned laser direct writing technology to construct a flexible high-resolution triboelectric nanopower array device based on laser-induced graphene as the working electrode for real-time tracking and tracking of motion trajectories. Human-computer interaction. The device consists of a 16×16 array of friction power generation sensors with a high resolution of 8 dpi, which can effectively convert external object contact stimulation into electrical signals, and uses a multi-channel data acquisition system to convert electrical signal data into real-time And visual images to realize real-time visualization of touch status. Multi-touch, sliding and real-time touch track monitoring. In addition, a wearable flexible touch panel based on a friction nanogenerator was successfully constructed, coupled with a micro-controller and a wireless Bluetooth module, to achieve human-computer interaction. This work not only opens up new technologies and methods for the construction of flexible and high-resolution self-driving real-time tactile sensing imaging devices, but also expands the applications of tactile sensing real-time imaging and wearable human-computer interaction interfaces.
This research was supported by the General Program of the National Natural Science Foundation of China and the "Yellow River Scholar" talent program of Henan University. Henan University is the first signing unit of the paper, Donghua University is the second signing unit, Henan University 2018 master student Yan Zhengguang is the first author, and Professor Wang Xin of Henan University and Professor Li Zhaoling of Donghua University are the co-corresponding authors.
