Wi-Fi sensing, which can identify human’s action, number of that, and individuals using Wi-Fi signals, is a method that can be introduced easily. The reason for this is possible to operate low cost and protect privacy. However, with only Wi-Fi signal sensing, there are few problems of decreased identification accuracy due to difference in the location of device and in silhouette. Therefore, in this paper, we propose WiAudina to achieve robust identification for environmental changes using Wi-Fi signals with acoustic information from footsteps. In this proposed method, then changing clothing, an average improves about 10% of identification accuracy compared to only Wi-Fi signals or only acoustic information.