Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2012 (Vol. 4, Issue: 20)
Article Information:

Rapid Occupant Classification System Based Rough Sets Theory

Lin Chen, Shutao Wei and Wen'an Tan
Corresponding Author:  Lin Chen 

Key words:  Occupant classification , Knowledge, Rough sets, Sensor, , ,
Vol. 4 , (20): 4145-4149
Submitted Accepted Published
March 23, 2012 April 24, 2012 October 15, 2012
Abstract:

In the intelligent airbag system, the correct classification of occupant type is the precondition and plays an important role in controlling the airbag release time and inflation strength during emergent accidents. In the paper, the novel rapid occupant classification system is proposed in which tens of pressure sensors are needed to real-time collect pressure distribution data and then the rough sets theory is combined to extract classification knowledge from data features. Furthermore, Experiments have been done to verify its efficiency and effectiviness.
Abstract PDF HTML
  Cite this Reference:
Lin Chen, Shutao Wei and Wen'an Tan, 2012. Rapid Occupant Classification System Based Rough Sets Theory.  Research Journal of Applied Sciences, Engineering and Technology, 4(20): 4145-4149.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved