Vehicle seat occupant classifying method and apparatus based...

Details Vehicle seat occupant classifying method and apparatus based... Vehicle seat occupant classifying method and apparatus based...

2005-05-03

2005-05-03

Black, Thomas G. (Department: 3663)

Data processing: vehicles, navigation, and relative location

Vehicle control, guidance, operation, or indication

Vehicle subsystem or accessory control

C701S046000, C180S273000, C280S728100

Reexamination Certificate

active

06889129

ABSTRACT:
A seat occupant in a vehicle is classified into one of first and second categories by using a support vector machine (SVM). Sensor signals are obtained from seat sensors to form a sensor signal vector. By using the sensor signal vector, a value of a two-value decision function known as SVM is calculated. The seat occupant is decided to be of one of the first and second categories associated with the value. The two-value decision function can be generated through support vector learning by using a set of training vectors obtained from the seat sensors. An airbag system using an inventive seat occupant classifying apparatus is also disclosed.

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“Speech Feature Extraction Using Independent Componenet Analysis” by Jong-Hwan Lee et al.; pp. 1-4.

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