[WCNC 2020] “Exact algorithms for barrier coverage with line-based deployed rotatable directional sensors”, Zijing Ma, Shuangjuan Li, Dong Huang
[Computer Science and Information Systems 2020] “Energy-efficient non-linear k-barrier coverage in mobile sensor network”, Zijing Ma, Shuangjuan Li, Longkun Guo, Guohua Wang
Published:
RFID-based and real-time lip movement recognition system.
[TMC 2022] “Hearme: Accurate and real-time lip reading based on commercial rfid devices”, Shigeng Zhang, Zijing Ma, Kaixuan Lu, Xuan Liu, Jia Liu, Song Guo, Albert Y Zomaya, Jian Zhang, Jianxin Wang
Published:
RFID-based and real-time gesture recognition system.
[TMC 2022] “Real-time and Accurate Gesture Recognition with Commercial RFID Devices”, Shigeng Zhang, Zijing Ma, Chengwei Yang, Xiaoyan Kui, Xuan Liu, Weiping Wang, Jianxin Wang, Song Guo
Published:
RFID-based and few-shot gesture recognition system.
[TMC 2022] “RF-Siamese: Approaching Accurate RFID Gesture Recognition With One Sample”, Zijing Ma, Shigeng Zhang, Jia Liu, Xuan Liu, Weiping Wang, Jianxin Wang, Song Guo.
Existing sensing systems usually require collecting a large number of samples to train a classifier for every environment, or further assume similar sample distribution between different environments such that a model trained in one environment can be transferred to another. In this paper, we propose RF-Siamese, an RFID-based gesture sensing approach that achieves comparable accuracy to existing solutions but requires only a few samples in each eivironment. RF-Siamese achieves a high accuracy of 0.93 with only one sample of each gesture when recognizing 18 different gestures.
