In the last few years, a great attention has been paid to wireless communications for body area networks especially since the IEEE 802.15.6 standard. The main objective of this work is to present a good technique for identifying between both Line-Of-Sight (LOS) and Non-Line-Of-Sight (NLOS) propagation schemes for UWB both of both on-body and offbody communication. Our work is focalize in the first to extract the information using traditional features compared with our proposed methods and secondly to classify it using Support Vector Machine for objective to given a good recognition rate of identification between LOS and NLOS phenomena. This characterized was applied for UWB measurement by the antenna Electromagnetics Group (Body WiSeR).