An Ultra-Conductive and Patternable 40 nm-Thick Polymer Film for Reliable Emotion Recognition

被引:13
作者
Du, Xiaojia [1 ]
Wang, Hai [1 ]
Wang, Yunfei [2 ]
Cao, Zhiqiang [2 ]
Yang, Leyi [1 ]
Shi, Xiaohu [1 ]
Zhang, Xiaoxu [3 ]
He, Chengzhi [3 ]
Gu, Xiaodan [2 ]
Liu, Nan [1 ,4 ]
机构
[1] Beijing Normal Univ, Coll Chem, Beijing Key Lab Energy Convers & Storage Mat, Beijing 100875, Peoples R China
[2] Univ Southern Mississippi, Sch Polymer Sci & Engn, Hattiesburg, MS 39406 USA
[3] Beijing Univ Chem Technol, Beijing Adv Innovat Ctr Soft Matter Sci & Engn, Beijing 100029, Peoples R China
[4] Beijing Graphene Inst, Beijing 100095, Peoples R China
基金
北京市自然科学基金; 美国国家科学基金会; 中国国家自然科学基金;
关键词
electronic skin; emotion recognition; patterning; PEDOT:PSS; stretchable electronics; TIME;
D O I
10.1002/adma.202403411
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Understanding psychology is an important task in modern society which helps predict human behavior and provide feedback accordingly. Monitoring of weak psychological and emotional changes requires bioelectronic devices to be stretchable and compliant for unobtrusive and high-fidelity signal acquisition. Thin conductive polymer film is regarded as an ideal interface; however, it is very challenging to simultaneously balance mechanical robustness and opto-electrical property. Here, a 40 nm-thick film based on photolithographic double-network conductive polymer mediated by graphene layer is reported, which concurrently enables stretchability, conductivity, and conformability. Photolithographic polymer and graphene endow the film photopatternability, enhance stress dissipation capability, as well as improve opto-electrical conductivity (4458 S cm(-1)@>90% transparency) through molecular rearrangement by pi-pi interaction, electrostatic interaction, and hydrogen bonding. The film is further applied onto corrugated facial skin, the subtle electromyogram is monitored, and machine learning algorithm is performed to understand complex emotions, indicating the outstanding ability for stretchable and compliant bioelectronics.
引用
收藏
页数:12
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