摩擦电效应
触觉知觉
模式
感觉
电子皮肤
感知
模态(人机交互)
人机交互
触觉传感器
过程(计算)
人工智能
计算机科学
机器人学
刺激形态
材料科学
计算机视觉
纳米技术
机器人
神经科学
心理学
操作系统
社会科学
社会学
复合材料
作者
Xiaoting Ma,Eunjong Kim,Jiaming Zhou,Jingyi Gao,Chuntae Kim,Huan Xiao,Ji Tae Kim,Dong‐Myeong Shin
出处
期刊:Nano Energy
[Elsevier]
日期:2023-06-08
卷期号:113: 108589-108589
被引量:21
标识
DOI:10.1016/j.nanoen.2023.108589
摘要
Human being perceives multiple tactile modalities in the process of sensation on the skin and interpretation in the brain. To date, several sensing techniques facilitate the accurate measurement of individual tactile modality, but multimodal static and dynamic sensing remain challenging. Moreover, low-cost and highly efficient interpretation techniques are still required for tactile perception. Herein, we present cost-effective and high-performing self-powered smart skins that mimic multimodal tactile perception, enabling accurate perception of pressure, vibration, and humidity in the process of sensation on the smart skin and interpretation by machine learning. The dynamic and static stimuli are encoded by triboelectric and hygroelectric principles in the smart skins, respectively, while the hygroscopic nature empowers humidity sensation capability in the smart skin with an accuracy rate as high as 84.0%−100.0%. We believe our smart skin will enable the smooth transition of e-skin into practical applications, such as robotics, prosthetics, healthcare, and intelligent industry.
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