材料科学
钙钛矿(结构)
纳米技术
智能材料
人机交互
计算机科学
化学工程
工程类
作者
Yuming Hu,Tingqing Wu,Haole Guo,Hongfei Xie,Sisi Chen,Sihan Chen,Tangyue Xue,Lutong Guo,Liwei Wang,Qi Pan,Zeying Zhang,Huadong Wang,Zewei Lian,Teng Han,Yanlin Song,Meng Su
标识
DOI:10.1002/adma.202412329
摘要
Abstract More than 70% of human information comes from vision. The eye is one of the most attractive sensing sites to collect biological parameters. However, it is urgent to develop a cost‐effective and easy‐to‐use approach to monitor eyeball information in a minimally invasive way instead of current smart contact lenses or camera‐based eyeglasses. Here, the biomimetic mineralization strategy is developed to prepare large‐grained perovskite film on the glass with prepared ITO electrodes, which displays the on–off ratio close to 300 times at 500 Lux light intensity, and the responsiveness reaches 22.09 A W −1 . The smart eyeglasses composed of perovskite‐based photodetectors can directly convert the visual stimuli from the reflective light of eyeballs into electrical signals in all light circumstances. After scaling up the pretraining data and the model size, the smart eyeglasses achieve the noncontact monitoring of the eyeball movement with the recognition angle of 5°, which can be used to unobtrusively drive the model car with great freedom. The smart eyeglasses based on the perovskite photodetectors provide cost‐effective approaches for monitoring eyeball movements, which will show great potential in the applications of man‐machine control, augmented reality, individual healthcare, etc.
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