Abstract:According to the parameter optimization of support vector machine in the examinee behavior automatic recognition, an examinee behavior automatic recognition method based on artificial bee colony algorithm optimized parameters of support vector machine is proposed in this paper. Firstly, the parameters of support vector machine are encoded into artificial bee colony nectar and examinee behavior recognition correct rate is taken as searching target, and then the parameters of support vector machine is selected by exchange and sharing of information of artificial bee colony to establish the optimal examinee behavior recognition model, finally the performance is tested by simulation experiments. The experimental results show that, the proposed method not only improves the recognition correct rate of the examinee behavior, but also accelerate recognition speed, so it can meet the real-time requirements of examinee behavior recognition.