Concepedia

TLDR

Bionic electronic skin is a leading candidate for health monitoring, soft robots, and wearable electronics, yet most designs only respond to strain–stress and lack the ability to identify multiple physiological stimuli. This study introduces an intelligent zwitterionic ionic conductive hydrogel with a double‑network structure as a bionic E‑skin. The hydrogel, composed of NaCl, sodium alginate, and poly acrylic‑acrylamide, forms a double network that provides ionic conductivity. It exhibits high strain–stress sensitivity, superior motion and physiological signal detection, and can distinguish superposed stimuli through electrical waveform, making it suitable for sports monitoring, human‑machine interfaces, and soft robotics.

Abstract

Abstract Bionic electronic skin (E‐skin) is considered to be the best candidate for health monitoring sensor, soft robots, biomedical prostheses, artificial intelligence, and wearable electronics devices. However, most existing studies on bionic E‐skin mainly focus on their strain–stress response. Although some works involved specific response to physiological signals such as temperature, sweat, wet, and so on, most reported E‐skins lack special ability to identify multiple stimuli, which limits their applications in real working environment. In this work, an intelligent zwitterionic ionic conductive hydrogel with double network structure (SAA: NaCl/sodium alginate/poly acrylic‐acrylamide) for bionic E‐skin is developed. The SAA hydrogel as E‐skin not only exhibits high sensitivity to strain–stress, but also demonstrates superior sensing performance in human body motion and physiological signal response. More importantly, the SAA hydrogel possesses excellent identification ability to the superposed signals of multiple stimuli. The type of stimulus can be readily distinguished via electrical signal waveform. The SAA hydrogel should be promisingly applied as multiple stimuli responsive and identifiable bionic E‐skin for sports monitoring, human/machine interfaces, and soft robotics.

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