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<p>The absence of tactile emotion perception limits artificial intelligence (AI) in decoding social behaviors encoded in human physical contact. Here, a biomimetic hairy sensing interface is developed to capture affective touch’s spatiotemporal characteristics and intrinsic features, allowing for accurate emotion recognition. The hairy interface directly induces neuromimetic electric pulse signals under external stimuli without the need for a spike coding circuit. Through a bistage hairy structure, homogeneous nanomesh manufacturing process and isoline theory, it achieves high force detection sensitivity (0.67 N<sup>-1</sup>) and spatial precision (1.61 mm localization accuracy across 100 cm<sup>2</sup>). The interface replicates biological C-LTMRs’ behavior, establishing the first bioelectronic analog of affective touch transduction. Integration with hybrid neural network setting (convolutional neural network and contextual large language model) enables real-time emotion recognition with 82.37% accuracy across individualized touch patterns. This neuromorphic tactile framework facilitates the closed-loop human-AI emotional interaction, advancing toward humanoid robots capable of natural affective communication.</p>

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Biomimetic hairy affective-touch sensory AI interface

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月18日

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  • Jianlong Hong,
  • Yukun Xiao,
  • Yuqi Chen,
  • Shengshun Duan,
  • Shengxin Xiang,
  • Xiao Wei,
  • Huiyun Zhang,
  • Lei Liu,
  • Jun Xia,
  • Wei Lei,
  • Qiongfeng Shi,
  • Chengkuo Lee,
  • Jun Wu

摘要

The absence of tactile emotion perception limits artificial intelligence (AI) in decoding social behaviors encoded in human physical contact. Here, a biomimetic hairy sensing interface is developed to capture affective touch’s spatiotemporal characteristics and intrinsic features, allowing for accurate emotion recognition. The hairy interface directly induces neuromimetic electric pulse signals under external stimuli without the need for a spike coding circuit. Through a bistage hairy structure, homogeneous nanomesh manufacturing process and isoline theory, it achieves high force detection sensitivity (0.67 N-1) and spatial precision (1.61 mm localization accuracy across 100 cm2). The interface replicates biological C-LTMRs’ behavior, establishing the first bioelectronic analog of affective touch transduction. Integration with hybrid neural network setting (convolutional neural network and contextual large language model) enables real-time emotion recognition with 82.37% accuracy across individualized touch patterns. This neuromorphic tactile framework facilitates the closed-loop human-AI emotional interaction, advancing toward humanoid robots capable of natural affective communication.