Fluid-structure interaction-based biomechanical perception model for tactile sensing.
Identifieur interne : 000807 ( PubMed/Curation ); précédent : 000806; suivant : 000808Fluid-structure interaction-based biomechanical perception model for tactile sensing.
Auteurs : Zheng Wang [République populaire de Chine]Source :
- PloS one [ 1932-6203 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- physiology : Touch, Touch Perception.
- Computer Simulation, Humans, Models, Theoretical.
Abstract
The reproduced tactile sensation of haptic interfaces usually selectively reproduces a certain object attribute, such as the object's material reflected by vibration and its surface shape by a pneumatic nozzle array. Tactile biomechanics investigates the relation between responses to an external load stimulus and tactile perception and guides the design of haptic interface devices via a tactile mechanism. Focusing on the pneumatic haptic interface, we established a fluid-structure interaction-based biomechanical model of responses to static and dynamic loads and conducted numerical simulation and experiments. This model provides a theoretical basis for designing haptic interfaces and reproducing tactile textures.
DOI: 10.1371/journal.pone.0079472
PubMed: 24260228
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Tactile biomechanics investigates the relation between responses to an external load stimulus and tactile perception and guides the design of haptic interface devices via a tactile mechanism. Focusing on the pneumatic haptic interface, we established a fluid-structure interaction-based biomechanical model of responses to static and dynamic loads and conducted numerical simulation and experiments. 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Tactile biomechanics investigates the relation between responses to an external load stimulus and tactile perception and guides the design of haptic interface devices via a tactile mechanism. Focusing on the pneumatic haptic interface, we established a fluid-structure interaction-based biomechanical model of responses to static and dynamic loads and conducted numerical simulation and experiments. 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RefType="Cites"><RefSource>J Biomech Eng. 1999 Dec;121(6):605-11</RefSource><PMID Version="1">10633260</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech Eng. 2008 Oct;130(5):054501</RefSource><PMID Version="1">19045525</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech. 2003 Mar;36(3):383-92</RefSource><PMID Version="1">12594986</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Ann Biomed Eng. 2003 Jul-Aug;31(7):867-78</RefSource><PMID Version="1">12971618</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech Eng. 2003 Oct;125(5):682-91</RefSource><PMID Version="1">14618927</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Med Eng Phys. 2004 Mar;26(2):165-75</RefSource><PMID Version="1">15036184</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurophysiol. 1981 Dec;46(6):1204-25</RefSource><PMID Version="1">7320743</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech. 1989;22(4):343-9</RefSource><PMID Version="1">2745468</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech Eng. 1996 Feb;118(1):48-55</RefSource><PMID Version="1">8833074</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>IEEE Trans Biomed Eng. 1996 Sep;43(9):912-8</RefSource><PMID Version="1">9214806</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech. 1998 Jul;31(7):639-46</RefSource><PMID Version="1">9796686</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Ultrasound Med Biol. 1998 Sep;24(7):995-1007</RefSource><PMID Version="1">9809634</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech Eng. 1999 Apr;121(2):178-83</RefSource><PMID Version="1">10211451</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Comput Methods Biomech Biomed Engin. 2006 Feb;9(1):55-63</RefSource><PMID Version="1">16880157</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech. 2006;39(13):2445-56</RefSource><PMID Version="1">16168999</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Clin Neurophysiol. 2000 Nov;17(6):539-58</RefSource><PMID Version="1">11151974</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008962">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014110">Touch</DescriptorName><QualifierName MajorTopicYN="Y" 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