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Abstract
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Article Information:
Rapid Occupant Classification System Based Rough Sets Theory
Lin Chen, Shutao Wei and Wen'an Tan
Corresponding Author: Lin Chen
Submitted: March 23, 2012
Accepted: April 24, 2012
Published: October 15, 2012 |
Abstract:
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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.
Key words: Occupant classification , Knowledge, Rough sets, Sensor, , ,
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Cite this Reference:
Lin Chen, Shutao Wei and Wen'an Tan, . Rapid Occupant Classification System Based Rough Sets Theory. Research Journal of Applied Sciences, Engineering and Technology, (20): 4145-4149.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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