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Updated: Jul 1, 2026

Bridging the Bio-Electronic Interface with Biofabrication
Published on: June 6, 2012
Convergence of Soft Electronics and Artificial Intelligence: From Materials to Intelligent Systems
Huijae Park1, Gyuho Choi1, Sangjin Yoon1
1Wearable Soft Electronics Lab, Department of Mechanical Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.
Soft electronics integrated with artificial intelligence offer advanced skin-interfaced sensing. This convergence enables reliable, on-device inference for intelligent systems adaptable to daily use.
Area of Science:
- Materials Science
- Artificial Intelligence
- Biomedical Engineering
Background:
- Soft electronics enable conformal, skin-interfaced sensing and actuation on dynamic surfaces.
- Performance challenges include time-varying interfaces, motion artifacts, and system burden.
- Advances in AI support reliable signal extraction and on-device inference.
Purpose of the Study:
- Summarize progress in the convergence of soft electronics and AI.
- Discuss material, manufacturing, and AI pipeline advancements.
- Explore future directions for intelligent soft systems.
Main Methods:
- Review deformation-tolerant conductors, biointerfaces, and breathable substrates.
- Discuss scalable fabrication, interconnects, and energy-autonomous systems.
- Examine AI pipelines for artifact suppression and multimodal inference.
Main Results:
- Material innovations support extended wear and deformation tolerance.
- Manufacturing advances enable higher channel counts and multifunctional architectures.
- AI pipelines improve signal reliability and enable edge deployment.
Conclusions:
- The convergence of soft electronics and AI is crucial for intelligent systems.
- Further research is needed for continuous, reliable operation in everyday settings.
- Emerging directions include neuromorphic and in-sensor computing.
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