Imaging dynamic three-dimensional traction stresses

Li, Yuanzhe; Bai, Pengpeng; Cao, Haiyang; Li, Lvzhou; Li, Xinxin; Hou, Xin; Fang, Jingbo; Li, Jingyang; Meng, Yonggang; Ma, Liran; Tian, Yu

doi:10.1126/sciadv.abm0984

Cited by 9 publications

(6 citation statements)

References 56 publications

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“…The finger contact area did not change in the image view, which was beneficial for in-situ measurement of finger deformation. DIC technology was used to process the image of the finger to obtain the finger surface strain information during the friction process [26,27] (more details shown in Fig. S2 in the ESM).…”

Section: Bidirectional Finger Skin Frictionmentioning

confidence: 99%

Experiment and modelling of texture and sliding direction dependence on finger friction behavior

Li,

Zhou,

Bai

et al. 2024

Friction

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Humans rely on their fingers to sense and interact with external environment. Understanding the tribological behavior between finger skin and object surface is crucial for various fields, including tactile perception, product appearance design, and electronic skin research. Quantitatively describing finger frictional behavior is always challenging, given the complex structure of the finger. In this study, the texture and sliding direction dependence of finger skin friction was quantified based on explicit mathematic models. The proposed double-layer model of finger skin effectively described the nonlinear elastic response of skin and predicted the scaling-law of effective elastic modulus with contact radius. Additionally, the skin friction model on textured surface considering adhesion and deformation factors was established. It revealed that adhesive term dominated finger friction behavior in daily life, and suggested that object texture size mainly influenced friction-induced vibrations rather than the average friction force. Combined with digital image correlation (DIC) technique, the effect of sliding direction on finger friction was analyzed. It was found that the anisotropy in finger friction was governed by the finger’s ratchet pawl structure, which also contributes to enhanced stick-slip vibrations in the distal sliding direction. The proposed friction models can offer valuable insights into the underlying mechanism of skin friction under various operating conditions, and can provide quantitative guidance for effectively encoding friction into haptics.

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Section: Bidirectional Finger Skin Frictionmentioning

confidence: 99%

Experiment and modelling of texture and sliding direction dependence on finger friction behavior

Li,

Zhou,

Bai

et al. 2024

Friction

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“…In [92], the marker pattern in GelStereo was updated to a semitransparent color pattern. Li et al used the dense speckle layer to provide matching features [98]. Such designs could provide more texture information and adapt new approaches like selfsupervised disparity estimation.…”

Section: B Technologies and Implementationmentioning

confidence: 99%

“…In addition, recent research has proved the potential of visuotactile sensing technology based on MDM in reflecting human touch behavior and interface phenomena. Li et al proposed a novel 3D MDM to measure traction stress with the high spatial and temporal resolution, and studied the evolution of adhesion stress and the creep mechanism of snails [98]. Based on TacTip, Lepora et al built SA-I and RA-I bionic tactile channels, and used 2D MDM to construct artificial tactile signals that closely resemble real tactile afferent activity recorded from monkeys on the same stimuli [113].…”

Section: Common Technologiesmentioning

confidence: 99%

Marker Displacement Method Used in Vision-Based Tactile Sensors—From 2-D to 3-D: A Review

Jiang

2023

IEEE Sensors J.

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The vision-based tactile sensor has been proven to be a promising device for sensing tactile information. Among such sensors, the marker displacement method (MDM) is the most common method used in such sensors for representing and extracting contact information. It uses the position field and displacement field of a marker array to characterize the original tactile information, and further achieves multimodal tactile perception through original information processing. This article is the first to classify MDM into three typical categories based on the dimensionality perspective: 2D MDM, 2.5D MDM, and 3D MDM. A comparison study is presented with a focus on the principles, characteristics, applications, and distinctions of these three methods. The latest literature has also been researched as the arguments. Finally, a summary of these three categories is presented as a helpful reference.

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“…In 1932, Bradley is the first one to consider the van der Waals force and identify the effect of surface energy on contact, and he defined adhesion work as the process of pulling the contacting body from the equilibrium position to infinity. In 1971, JKR adhesion contact theory was developed, and the effect of adhesion energy on the elastic contact surface was determined, consequently addressing the deficiency of Hertz theory, as verified by the analyses of several contact problems. , However, as complete static contact is impossible to attain in experiments, the total energy balance is difficult to achieve. Thus, JKR theory is usually generalized to a nonequilibrium state.…”

Section: Introductionmentioning

confidence: 99%

Vision-Based Contact Adhesion Measurement Method on Soft Matter Surfaces

Zhu

et al. 2023

Langmuir

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Adhesion property measurements contribute to a comprehensive understanding of the mechanical properties of soft matters. Indentation tests are a common method for measuring the adhesion force. However, indenters generally have a large volume and a small sensing angle and, thus, are not conducive to local detection in high-precision environments. Here, we propose a vision-based contact adhesion measurement (VisCAM) method to achieve the contact image and adhesion force on soft matter surfaces from the perspective of indentation direction. The coupling of the 7.6 mm diameter probe and a flexible fiber makes the system similar to a miniaturized endoscope. Classical contact theories and finite element models are used for the contact mechanics analysis of silicone rubber. The image grayscale–load mathematical model is constructed based on the change in contact light spot. Finally, the uncertainty of the system is less than 4%, and the measurement error is 0.04 N. In-vitro kidney indentation experiments showed that the local adhesion force measurement of soft tissues can be completed. Our method provides better solutions for understanding the adhesion properties of soft matters.

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Imaging dynamic three-dimensional traction stresses

Cited by 9 publications

References 56 publications

Experiment and modelling of texture and sliding direction dependence on finger friction behavior

Experiment and modelling of texture and sliding direction dependence on finger friction behavior

Marker Displacement Method Used in Vision-Based Tactile Sensors—From 2-D to 3-D: A Review

Vision-Based Contact Adhesion Measurement Method on Soft Matter Surfaces

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