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<p>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.</p>

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Tactile near-sensor computing systems incorporating hourglass-shaped microstructured capacitive sensors for bio-realistic energy efficiency

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月1日

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  • Jae-Yeong Cho,
  • Seong Eun Kim,
  • Chang-Jae Beak,
  • Jihwan Lee,
  • Wonjeong Suh,
  • Bo-Yeon Lee,
  • Sin-Hyung Lee

摘要

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.