Deep-Learning Enabled Active Biomimetic Multifunctional Hydrogel Electronic Skin

Citations Over TimeTop 1% of 2023 papers

Abstract

There is huge demand for recreating human skin with the functions of epidermis and dermis for interactions with the physical world. Herein, a biomimetic, ultrasensitive, and multifunctional hydrogel-based electronic skin (BHES) was proposed. Its epidermis function was mimicked using poly(ethylene terephthalate) with nanoscale wrinkles, enabling accurate identification of materials through the capabilities to gain/lose electrons during contact electrification. Internal mechanoreceptor was mimicked by interdigital silver electrodes with stick-slip sensing capabilities to identify textures/roughness. The dermis function was mimicked by patterned microcone hydrogel, achieving pressure sensors with high sensitivity (17.32 mV/Pa), large pressure range (20-5000 Pa), low detection limit, and fast response (10 ms)/recovery time (17 ms). Assisted by deep learning, this BHES achieved high accuracy and minimized interference in identifying materials (95.00% for 10 materials) and textures (97.20% for four roughness cases). By integrating signal acquisition/processing circuits, a wearable drone control system was demonstrated with three-degree-of-freedom movement and enormous potentials for soft robots, self-powered human-machine interaction interfaces of digital twins.

Related Papers

• → Three-Dimensional Self-Healable Touch Sensing Artificial Skin Device(2019)55 cited
• → One-step grafting procedure using artificial dermis and split-thickness skin in burn patients(2012)2 cited
• [Experimental study on a skin substitute. Artificial dermis epidermised by human keratinocytes].(1992)
• [Clinical regenerative medicine: the skin].(2008)
• → Repair of skin defect with autologous head skin graft and artificial dermis graft in 10 children cases(2012)