Toward an AI Era: Advances in Electronic Skins,Chemical Reviews

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Toward an AI Era: Advances in Electronic Skins
Chemical Reviews ( IF 51.4 ) Pub Date : 2024-08-28 , DOI: 10.1021/acs.chemrev.4c00049
Xuemei Fu _{1,

2} , Wen Cheng _{1,

2,

3} , Guanxiang Wan _{1,

2} , Zijie Yang _{1,

2} , Benjamin C K Tee _{1,

2,

3,

4,

5}

Affiliation

Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors that detect physiological and environmental signals have been designed and integrated into functional systems. Recently, researchers have increasingly deployed machine learning and other artificial intelligence (AI) technologies to mimic the human neural system for the processing and analysis of sensory data collected by e-skins. Integrating AI has the potential to enable advanced applications in robotics, healthcare, and human–machine interfaces but also presents challenges such as data diversity and AI model robustness. In this review, we first summarize the functions and features of e-skins, followed by feature extraction of sensory data and different AI models. Next, we discuss the utilization of AI in the design of e-skin sensors and address the key topic of AI implementation in data processing and analysis of e-skins to accomplish a range of different tasks. Subsequently, we explore hardware-layer in-skin intelligence before concluding with an analysis of the challenges and opportunities in the various aspects of AI-enabled e-skins.

中文翻译：

迈向人工智能时代：电子皮肤的进步

电子皮肤（e-skin）在过去二十年里得到了深入的研究和快速的发展。为了模仿人类皮肤的功能，人们设计了多种检测生理和环境信号的柔性/可拉伸传感器并将其集成到功能系统中。最近，研究人员越来越多地部署机器学习和其他人工智能（AI）技术来模仿人类神经系统，以处理和分析电子皮肤收集的感官数据。集成人工智能有潜力实现机器人、医疗保健和人机界面中的高级应用，但也带来了数据多样性和人工智能模型稳健性等挑战。在这篇综述中，我们首先总结了电子皮肤的功能和特点，然后介绍了感官数据和不同人工智能模型的特征提取。接下来，我们讨论人工智能在电子皮肤传感器设计中的应用，并讨论人工智能在电子皮肤数据处理和分析中实现的关键主题，以完成一系列不同的任务。随后，我们探索了硬件层的皮肤智能，最后分析了人工智能电子皮肤各个方面的挑战和机遇。

更新日期：2024-08-28

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