Layered rhombus-chain-connected model for real-time haptic rendering

被引：8

作者：

Zhang, Xiaorui ^{[1
]}

Sun, Wei ^{[1
]}

Song, Aiguo ^{[2
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Informat & Control, Nanjing 210044, Jiangsu, Peoples R China

[2] Southeast Univ, Sch Instrument Sci & Engn, Remote Measurement & Control Key Lab Jiangsu Prov, Nanjing 210096, Jiangsu, Peoples R China

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2014年 / 41卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Layered rhombus-chain-connected model; Deformable objects; Haptic rendering; Feedback force; Virtual reality; FINITE-ELEMENT-METHOD;

D O I：

10.1007/s10462-011-9297-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The modeling and simulation of deformable objects is a challenging topic in the field of haptic rendering between human and virtual environment. In this paper, a novel and efficient layered rhombus-chain-connected haptic deformation model based on physics is proposed for an excellent haptic rendering. During the modeling, the accumulation of relative displacements in each chain structure unit in each layer is equal to the deformation on the virtual object surface, and the resultant force of corresponding springs is equivalent to the external force. The layered rhombus-chain-connected model is convenient and fast to calculate, and can satisfy real-time requirement due to its simplicity. Experimental study in both homogenous and non-homogenous virtual human liver and lungs based on the proposed model are conducted, and the results demonstrate that our model provides stable and realistic haptic feeling in real time. Meanwhile, the display result is vivid.

引用

页码：49 / 65

页数：17

共 18 条

[1] Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation [J].

Babuska, I ;

Tempone, R ;

Zouraris, GE .

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2005, 194 (12-16) :1251-1294

[2]

Chen P, 2006, SYMPOSIUM ON HAPTICS INTERFACES FOR VIRTUAL ENVIRONMENT AND TELEOPERATOR SYSTEMS 2006, PROCEEDINGS, P499

[3]

Costa IF, 2001, IEEE INT CONF ROBOT, P2337, DOI 10.1109/ROBOT.2001.932971

[4] Model predictive control of magnetically actuated mass spring dampers for automotive applications [J].

Di Cairano, S. ;

Bemporad, A. ;

Kolmanovsky, I. V. ;

Hrovat, D. .

INTERNATIONAL JOURNAL OF CONTROL, 2007, 80 (11) :1701-1716

[5] Multiscale mass-spring models of carbon nanotube foams [J].

Fraternali, F. ;

Blesgen, T. ;

Amendola, A. ;

Daraio, C. .

JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2011, 59 (01) :89-102

[6]

Gibson S. F. F., 1997, Proceedings 1997 Symposium on Interactive 3D Graphics, P149, DOI 10.1145/253284.253324

[7] A finite element immersed boundary method for fluid flow around rigid objects [J].

Ilinca, F. ;

Hetu, J. -F. .

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2011, 65 (07) :856-875

[8] The real-time haptic simulation of a biomedical volumetric object with shape-retaining chain linked model [J].

Kim, SY ;

Park, J ;

Kwon, DS .

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2005, E88D (05) :1012-1020

[9] Improving contact realism through event-based haptic feedback [J].

Kuchenbecker, KJ ;

Fiene, J ;

Niemeyer, G .

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2006, 12 (02) :219-230

[10]

Lee HP, 2008, LECT NOTES COMPUT SC, V5242, P830

← 1 2 →