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条形状精细纹理的触觉感知深度识别阈值

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触觉对人类感知外部世界起着重要作用,但是由于触觉机制复杂、涉及的感知单元众多,因此人类对触觉的认识依然有限.该文利用认知行为学、摩擦学和脑电图法基于皮肤的"感"和大脑的"知"系统研究了条形状精细纹理触觉感知深度识别阈值涉及的摩擦振动特征和大脑触感激活反应,通过单通道触感神经元群模型初步验证了纹理刺激强度和神经元兴奋性对触觉感知的影响.结果显示:随着纹理深度的增大,手指触摸的形变摩擦比例增大,人对纹理的主观感知增加,纹理识别正确率提高,人的平均触觉感知深度识别阈值为11.60μm;纹理深度与载荷指数、振动信号最大幅值、递归参数熵、最长竖直线段长度、脑电(EEG)信号P300成分幅值的峰值均呈显著正相关关系,与P300成分的潜伏期呈显著负相关关系;当纹理深度超过触觉感知深度识别阈值后,触摸振动信号的频谱幅值和非线性特征参数显著增大,振动信号主频增大到Pacini小体的最佳感知频率范围,振动信号系统从稳态模式转变为突变模式,大脑脑区的激活强度和面积增大,大脑的神经元活动以及大脑对触感信息的加工强度显著增强,触觉识别速度显著提高;单通道触感神经元群模型可有效模拟真实脑电信号,神经元群的兴奋度越高,触感越强,则脑电信号的频谱主频越小、幅值越大.
Depth recognition thresholds of tactile perception for fine stripe texture of bar shapes
[Objective]Although tactile perception plays a crucial role in human perception of the external world,human understanding of tactile perception remains limited due to the complexity of its mechanism and the multitude of perceptual units involved.The friction between surface textures and finger skin provides vibratory stimuli on the skin surface during tactile perception,thereby activating the somatosensory areas.It is necessary to evaluate the tactile perception of fine textures based on the friction behavior of skin and the related cortical activity in response to the texture stimuli.[Methods]Different fine stripe texture depths(5,10,15,20,25,and 30 μm)were designed and processed using laser engraving.The depth recognition threshold of tactile perception for fine texture was systematically investigated using subjective evaluation,surface friction and vibration,and the neurophysiological response of the brain.The effects of the texture stimulus intensity and neuronal excitability on tactile perception were verified by a single-channel neural mass model.[Results]An increase in the fine texture depth was associated with an increase in the subjective human texture sense,the degree of correct texture recognition,and the proportion of deformation friction.The average depth recognition threshold of tactile perception was found to be 11.60 μm.The load index,the maximum spectral amplitude of the vibration signal,the recurrence parameter entropy,the length of the longest vertical line segment,and the peak of P300 exhibited a substantial positive correlation with the fine texture depth.The latency of P300 showed a substantial negative correlation with the fine texture depth.When the texture depth exceeded the depth recognition threshold of tactile perception,the maximum spectral amplitude and nonlinear characteristic parameters of the touch vibration signal increased remarkably.The main frequency of the vibration signal also increased to be within the perceptual frequency range of the Pacinian corpuscle.As a result,the vibration signal system transformed from a homogenous state to a disrupted state.Furthermore,the intensity and the area of activation of the brain regions,the neuronal activity of the brain,the processing intensity,and the tactile recognition speed of the brain increased remarkably.Amplitude of the main frequency of the simulated electroencephalogram(EEG)signal increased with an increase in the mean value of the input signal.This trend was consistent with that of the real EEG signal,which indicated that the increase in the tactile intensity due to the increase in the texture depth was one of the reasons for the increase in amplitude of the main frequency of the tactile EEG signal.The main frequency of the simulated EEG signal decreased with an increase in the ratio of excitatory synaptic gain to inhibitory synaptic gain.This trend was consistent with that of the real EEG signal,which indicated that the increased excitability of the neuronal populations excited by the increase in texture depth was one of the reasons for the decrease in the main frequency of the tactile EEG signal.[Conclusions]The depth recognition thresholds of tactile perception for fine stripe textures,the finger touch tribological behavior,the frequency domain and nonlinear features of the touch vibration signals,and the time and frequency domain features of EEG signals undergo remarkable variations during touching and sensing.The single-channel neural mass model can effectively simulate real EEG signals.

fine texturefriction vibrationelectroencephalogram(EEG)depth recognition threshold of tactile perceptionsingle-channel neural mass model

张守胜、庄滕飞、方星星、朱华、唐玮

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中国矿业大学机电工程学院,徐州 221116

精细纹理 摩擦振动 脑电(EEG) 触觉感知深度识别阈值 单通道神经元群模型

国家自然科学基金面上项目

51875566

2024

清华大学学报(自然科学版)
清华大学

清华大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.586
ISSN:1000-0054
年,卷(期):2024.64(1)
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