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Tactile near-sensor computing systems incorporating hourglass-shaped microstructured capacitive sensors for bio-realistic energy efficiency
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作者 Jae-Yeong Cho Seong Eun Kim +4 位作者 Chang-Jae Beak Jihwan Lee Wonjeong Suh Bo-Yeon Lee Sin-Hyung Lee 《npj Flexible Electronics》 2025年第1期1539-1548,共10页
Bio-inspired near-sensor computing,which integrates sensing and processing functions,presents a promising strategy to enhance efficiency and reduce latency in such applications.Here,we introduce tactile sensory nerve ... Bio-inspired near-sensor computing,which integrates sensing and processing functions,presents a promising strategy to enhance efficiency and reduce latency in such applications.Here,we introduce tactile sensory nerve systems with biologically realistic energy efficiency,utilizing starfish-inspired capacitive pressure sensors integrated with flexible memristors.These starfish-inspired sensors,with their high aspect ratio(~3)and stress-focusing,hourglass-shaped dielectric microstructures,enable highly sensitive tactile detection across a broad pressure range,effectively mimicking the properties of human skin.Artificial tactile sensory nerves,which integrate the capacitive sensor with a flexible memristor exhibiting synaptic plasticity,function reliably as energy-efficient near-sensor computing systems by bio-realistically transducing mechanical stimuli into transient electrical signals.The developed system operates as both an artificial nociceptor and a tactile near-sensor computing unit,with energy consumption approaching biological levels at approximately 140 pJ and 2.2 fJ,respectively.This neuro-inspired localized computing strategy offers a physical platform for advanced smart user interface applications. 展开更多
关键词 tactile sensory nerve systems flexible memristors capacitive pressure sensors bio realistic energy efficiency sensing processing functionspresents tactile sensing flexible memristorsthese enhance efficiency reduce latency
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