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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

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.
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  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.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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