Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Soft tissue deformation modeling method based on virtual springs

A modeling method and soft tissue technology, which is applied in the field of virtual reality human-computer interaction, can solve problems such as poor stability and poor performance of soft tissue biomechanical properties, and achieve the effect of small calculation, realistic simulation effect and satisfaction of authenticity

Inactive Publication Date: 2018-05-04
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF1 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional model based on surface network topology has poor stability in simulating soft tissue deformation and cannot well represent the biomechanical properties of soft tissue.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Soft tissue deformation modeling method based on virtual springs
  • Soft tissue deformation modeling method based on virtual springs
  • Soft tissue deformation modeling method based on virtual springs

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0056] figure 1 It is a flow chart of the virtual spring-based soft tissue deformation modeling method of the present invention.

[0057] A complete virtual flexible body force tactile feedback simulation system includes a host computer and a haptic interaction device. A display is connected to the host computer, and the computer is linked with the haptic interaction device to transmit the deformation information of the soft tissue surface generated by the calculation deformation module to the Force-tactile interactive devices. The tactile interaction device used in the example is the PHANTOM device of SensAble Technology Company, which can accurately track the three-dimensional movement of the human hand, and feed back the virtual force calculated by the virtual model to the operator in real time, providing a realistic sense of immersion in force. The maximum output feedback force of PHANTOM equipment is 3.3N.

[0058] This example starts from medical image data, builds and...

example

[0100]The deformation simulation of the soft tissue real-time force feedback interactive system generally requires relatively high real-time performance, so it has high requirements for the calculation speed and refresh frequency of the system. The continuity of vision and force sense reproduction is required. The refresh rate of soft tissue deformation in visual display should not be less than 30Hz, and the refresh rate of force sense reproduction should be above 1kHz in order to achieve the rapidity required by force feedback.

[0101] When the deformation rate ε of the contact point 1 When different values ​​are taken, different deformation curves are obtained. And, under the action of the same force, the deformation rate ε of different tissues 1 Different, the deformation of soft tissue is also different. ε 1 The larger the value, the softer the soft tissue and the greater the force deformation. At the same time, the softness of the soft tissue is also related to the e...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a soft tissue deformation modeling method based on virtual springs. The soft tissue deformation modeling method based on virtual springs is based on the spring-particle model to establish an improved real-time deformation model of soft tissue, virtual body springs are added by the topological structure soft tissue surface model combining the square and the isosceles right triangle, so that a more real deformation effect is achieved; at the position of each particle in the system, the superposition of surface springs variable is equivalent to the surface deformation of an object, the resultant force of the elastic forces of the virtual springs is equivalent to the contact force on the surface of the object; the model inherits the advantages of the classical spring particle model that the principle is simple, the model is easy to establish, the calculation speed is quick, at the same time, the model has an ability to control the deformation area.

Description

technical field [0001] The invention belongs to the technical field of virtual reality human-computer interaction, and more specifically, relates to a soft tissue deformation modeling method based on a virtual spring. Background technique [0002] It is a key technology in the virtual simulation process of human soft tissue deformation technology. In the process of force-tactile interaction in virtual environment, it is very important to establish a force-tactile model based on physical meaning. Most of the current physical deformation models of soft tissues are based on elastic theory research. Majumder et al. proposed a physically meaningful soft tissue deformation model based on the finite element method. Although it is accurate, it requires a high number of mesh nodes and high computational costs. Peterlik et al. proposed a nonlinear finite element model, which improves the current thinking, but still cannot meet the frequency requirements of kilohertz for force tactile...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/50G06T17/00
CPCG06F30/20G06F2111/10G06T17/00
Inventor 刘珊杨波郑文锋石天一
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products