Due to the rapid development of human body communication technology and broad application prospects, this paper proposes a biometric identification method based on human body communication technology. In the UWB frequency band and HBC frequency band suitable for human body communication, the path loss of the human body communication link is used as a biological feature. First, use the support vector machine for identification according to the measured values of different links; then use the C-SVM and Nu-SVM methods with different kernel functions for identification under the data set of 11 links; finally select 8 ~ 10 GHz UWB sub-band is recognized to improve the calculation speed. The results show that: the longer the link communication distance, the higher the recognition rate. The C-SVM with Gaussian kernel has the best recognition effect in the UWB frequency band, with a recognition rate of 96. 41%, AUC of 0. 999 1 and EER of 0. 017 2%. By selecting the sub-band to reduce the calculation time to 0. 142 s, the speed is significantly improved.