粗糙表面的摩擦触觉感知研究
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本文中研究了手指触摸粗糙表面的摩擦振动特性、脑电生理反应和主观评价,为产品触感舒适性和抓握可靠性设计以及产品触感量化表征提供理论依据. 研究结果显示:随着表面轮廓算术平均偏差和轮廓单元平均宽度的降低,摩擦系数和功率谱重心逐渐增大,垂直偏差逐渐降低;垂直偏差、功率谱重心和摩擦系数特征参数能够反应粗糙表面的形貌特征变化,并且与人的主观感知评价一致,可以用来定量表征人对材料表面粗糙度、细致度和黏着度的感知. ERP曲线的P200成分峰值与接触表面的粗糙特征相关,粗糙度大的表面诱发的P200峰值高;P300成分与人的主观认知判断有关,粗糙感强、细致感差及黏着感低的表面诱发的P300峰值高且潜伏期短. 研究表明,材料表面的粗糙特性通过影响皮肤的接触摩擦行为,进而影响人脑的触觉感知和主观评价. 表面摩擦振动特性、人脑电生理反应和触感主观评价具有相关性,三者结合是系统研究粗糙表面摩擦触觉感知的有效手段.
This study investigates the frictional vibration characteristics, electroencephalographic (EEG) physiological responses, and subjective evaluations of fingers touching rough surfaces, providing theoretical foundations for the design of product tactile comfort and grasping reliability, as well as the quantitative characterization of product tactile perception. The research findings indicate that as the arithmetic mean deviation of the surface profile and the mean width of the profile elements decrease, the coefficient of friction and the center of gravity of the power spectrum gradually increase, while the vertical deviation gradually decreases. Characteristic parameters including vertical deviation, center of gravity of the power spectrum, and coefficient of friction can reflect the changes in the topography of rough surfaces, and are consistent with human subjective perceptual evaluations. These parameters can be used to quantitatively characterize human perceptions of surface roughness, fineness, and adhesion of materials. The peak amplitude of the P200 component in event-related potential (ERP) curves is correlated with the roughness characteristics of the contact surface: surfaces with higher roughness evoke higher P200 peak amplitudes. The P300 component is related to human subjective cognitive judgment: surfaces with strong roughness perception, poor fineness perception, and low adhesion perception evoke higher P300 peak amplitudes with shorter latencies. This study demonstrates that the rough characteristics of material surfaces affect human tactile perception and subjective evaluations by influencing the contact frictional behavior of the skin. There is a correlation among surface frictional vibration characteristics, human electroencephalographic physiological responses, and subjective evaluations of tactile sensation. Combining these three aspects is an effective approach for the systematic study of tactile friction perception of rough surfaces.




