Radio-Frequency (RF) based User identification enables many attractive applications such as smart homes, and security management. However, laborious data collection is required due to appearance changes, inconsistent walking paths, and environmental variations. Furthermore, multi-user identification persists as an imperative for real-world applications. To this end, we propose an RFID-based user identification system (RF-UI), a few-shot, cross-interference factor, and a continuous user identification system.
This is the continuous Chinese and English gesture data of 14 Chinese and 4 English languages, respectively “不”,“程”,“刀”,“工”,“古”,“今”,“力”,“刘”,“木”,“石”,“土”,“外”,“中”,“乙”,“can”,“NO”,“Who”,“yes”.
A Chinese character gesture dataset for 8 Chinese characters ( “国”,“图”,“木”,“工”,“口”,“中”,“国”,“人” ) .Datasets were collected in three different environments.