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相关概念视频

Somatosensation01:33

Somatosensation

41.1K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
41.1K
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

422
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
422

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相关实验视频

Updated: Oct 29, 2025

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
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Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

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使用 triboelectric 效应的生物模拟双模态触觉感知.

Shaoshuai He1, Jinhong Dai1, Dong Wan1

  • 1Thrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, Guangdong, China.

Science advances
|July 5, 2024
PubMed
概括

研究人员开发了一种全新的半球双模智能触觉传感器 (BITS) 阵列. 这种人工天线模仿昆虫感官器官,为增强现实和人机集成提供准确的实时触觉反.

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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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A Method for Evaluating Timeliness and Accuracy of Volitional Motor Responses to Vibrotactile Stimuli
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相关实验视频

Last Updated: Oct 29, 2025

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科学领域:

  • 机器人和人机交互的人机交互
  • 材料科学与工程 材料科学与工程
  • 生物仿真传感器 生物仿真传感器

背景情况:

  • 多式触觉感知对于沉浸式增强现实 (AR) 体验至关重要.
  • 现有的人工触觉接口难以同时检测对象属性,如类型,软度和量化模量.
  • 昆虫的Campaniform传感器为先进的触觉感知提供了灵感.

研究的目的:

  • 开发一种先进的人工触觉传感器,能够全面检测材料属性.
  • 以昆虫天线为灵感,创建一个双模智能触觉传感器 (BITS) 阵列.
  • 为了能够准确地识别材料类型,软度和模量定量.

主要方法:

  • 提出了一个半球双模智能触觉传感器 (BITS) 阵列,利用 triboelectric 效应.
  • 利用由材料可变性产生的独特的 triboelectric 输出指纹.
  • 用不同的电子亲和力来识别材料和量化属性.

主要成果:

  • 在材料类型识别中实现了99.4%的准确性.
  • 在柔软度识别方面表现出100%的准确性.
  • 成功量化了材料模量.
  • 该BITS阵列根据材料属性产生独特的输出信号.

结论:

  • 拟议的BITS阵列有效地识别材料类型,软度,并量化模量.
  • 电阻效应使得准确和多模式的触觉感知成为可能.
  • BITS显示了小型化的潜力,为AR和人机集成提供实时触觉信息.