bullet Sensors & Transducers Journal

    (ISSN 1726-5479)

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2014

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

Vol. 161, Issue 12, December 2013, pp. 59-66

 

Bullet

 

Virtual Interaction System Based on Optical Capture
 
1 Peng CHEN, 2 Xiaoyang ZHOU, 3 Jianguang LI, 1 Peijun WANG

1 School of Mechanical Engineering, Southwest Jiaotong University, 610031, P.R.China

2 Schaeffler Holding (China) Co., Ltd, Taicang, 215400, P. R. China

3 School of Mechatronics Engineering, Harbin Institute of Technology, 150001, P.R.China

1 Tel.: 86-28-66365266, fax: 86-28-66365266
E-mail: chenpeng@home.swjtu.edu.cn

 

Received: 27 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Virtual reality system provides probability and methods for efficient flexible human machine interaction. Since motion capture technology can obtain the motion state in real environment, an interaction system based on optical motion capture system is introduced in this paper. The models of human body are constructed by commercial CAD software. It analyzes movement characteristics of human arm and hand and builds layered structure model for the movement of them. The motion parameter of hand model is also determined. Moreover, motion control is applied to geometric model of human body as well as mapping image from human body's motion to virtual environment is established. Considering on detection precision and efficiency analysis of collision detection algorithm, suitable collision detection methods for this research is selected, and real-time collision detection by means of bounding volume hierarchies is achieved. Furthermore, it studies human hands grasp motion and defines grasp rules of virtual hands for grasp motion of objects in VR Environment. Finally, development and test of virtual interaction system are accomplished. Various motions, such as grasping, moving and releasing operations are demonstrated in the virtual interaction system for the aiming tasks.

 

Keywords: Virtual reality, Motion capture, Motion control, Collision detection, Virtual interaction.

 

 

Buy this article online (it will be send to you in the pdf format by e-mail) or subscribe Sensors & Transducers journal

(12 issues per year plus special issues; 40 % discount for payment IFSA Members):

 

 

Buy this article for
14.95 $ US:

 

 
 

 

 

Download <here> the Library Journal Recommendation Form

 

 

Read more about Wireless Sensor Networks

 

 

 

 

 


1999 - 2013 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn