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触觉交互中手指和手部力学行为的有限元建模综述。

A review on finite element modelling of finger and hand mechanical behaviour in haptic interactions.

作者信息

Cei Gianmarco, Artoni Alessio, Bianchi Matteo

机构信息

Research Center "E. Piaggio", Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.

Department of Civil and Industrial Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122, Pisa, Italy.

出版信息

Biomech Model Mechanobiol. 2025 Jun;24(3):895-917. doi: 10.1007/s10237-025-01943-w. Epub 2025 May 6.

DOI:10.1007/s10237-025-01943-w
PMID:40327239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12162383/
Abstract

Touch perception largely depends on the mechanical properties of the soft tissues of the glabrous skin of fingers and hands. The correct modelling of the stress-strain state of these tissues during the interaction with external objects can provide insights on the exteroceptual mechanisms of human touch, offering design guidelines for artificial haptic systems. However, devising correct models of the finger and hand at contact is a challenging task, due to the biomechanical complexity of human skin. This work presents an overview of the use of Finite Element analysis for studying the stress-strain state in the glabrous skin of the hand, under different loading conditions. We summarize existing approaches for the design and validation of Finite Element models of the soft tissues of the human finger and hand, evaluating their capability to provide results that are valuable in understanding tactile perception. The goal of our work is to serve as a reference and provide guidelines for those approaching this modelling method for the study of human haptic perception.

摘要

触觉感知在很大程度上取决于手指和手部无毛皮肤软组织的力学特性。在与外部物体相互作用期间,对这些组织的应力应变状态进行正确建模,可以为人类触觉的外感受机制提供见解,为人工触觉系统提供设计指导。然而,由于人类皮肤的生物力学复杂性,设计手指和手部在接触时的正确模型是一项具有挑战性的任务。本文概述了在不同加载条件下,使用有限元分析研究手部无毛皮肤应力应变状态的情况。我们总结了现有的人类手指和手部软组织有限元模型的设计和验证方法,评估了它们提供对理解触觉感知有价值结果的能力。我们工作的目标是为那些采用这种建模方法研究人类触觉感知的人提供参考和指导方针。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293b/12162383/84e0e392b79c/10237_2025_1943_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293b/12162383/8e76a059d3d3/10237_2025_1943_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293b/12162383/2ff63d60309f/10237_2025_1943_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293b/12162383/40456f584683/10237_2025_1943_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293b/12162383/2fd4a34a346f/10237_2025_1943_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293b/12162383/b7693bb3ad6d/10237_2025_1943_Fig9_HTML.jpg
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本文引用的文献

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Human tactile sensing and sensorimotor mechanism: from afferent tactile signals to efferent motor control.人类触觉感知和感觉运动机制:从传入触觉信号到传出运动控制。
Nat Commun. 2024 Aug 10;15(1):6857. doi: 10.1038/s41467-024-50616-2.
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IEEE Trans Haptics. 2024 Oct-Dec;17(4):753-760. doi: 10.1109/TOH.2024.3406251. Epub 2024 Dec 19.
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Fingertip dynamic response simulated across excitation points and frequencies.
指尖动态响应在激励点和频率上的模拟。
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Fast grip force adaptation to friction relies on localized fingerpad strains.快速的握力适应摩擦力依赖于局部指尖应变。
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An individual's skin stiffness predicts their tactile discrimination of compliance.个体皮肤硬度可预测其对顺应性的触觉辨别能力。
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