Abstract
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 π–π 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.
Original language | English |
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Article number | 2403411 |
Journal | Advanced Materials |
Volume | 36 |
Issue number | 31 |
DOIs | |
State | Published - Aug 1 2024 |
Funding
The authorization of IAPS database, which was used in emotion recognition experiments is gratefully acknowledged. The authors gratefully acknowledge the cooperation of the beamline scientists at BSRF\u20101W1A beamline. Funding: financial support from the National Natural Science Foundation of China (Grant Nos. 22275022, 22072006), the Beijing Natural Science Foundation (Grant No. JQ23002), the Fundamental Research Funds for the Central Universities (Grant No. 310400209523) and the National Natural Science Foundation of China (Grant No. T2188101) are gratefully acknowledged. Y.W. and X.G. thank the National Science Foundation's Division of Materials Research (Grant No. DMR\u20102047689) for the morphology characterization in this work on stretchable electrodes.
Keywords
- PEDOT:PSS
- electronic skin
- emotion recognition
- patterning
- stretchable electronics