Vehicle seat occupant classifying method and apparatus based on a support vector machine

摘要

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.