Nov 6, 2020 · In this paper, we propose RFnet, a multi-branch 1D-CNN based framework, that explores the possibility of directly utilizing time series RFID signal to ...
In this paper, we propose RFnet, a multi-branch 1D-CNN based framework, that explores the possibility of directly utilizing time series RFID signal to recognize ...
Oct 22, 2024 · In this paper, we propose RFnet, a multi-branch 1D-CNN based framework, that explores the possibility of directly utilizing time series RFID ...
Abstract: Utilizing wireless signals for gesture recognition and human identification is an emerging type of technology for touchless user interface, ...
Utilizing wireless signals for gesture recognition and human identification is an emerging type of technology for touchless user interface, which allows the ...
RFnet: Automatic gesture recognition and human identification using time series RFID signals. H Ding, L Guo, C Zhao, F Wang, G Wang, Z Jiang, W Xi, J Zhao.
Our method utilizes discreet, easily concealable sensors and passive RFID technology to track objects in real-time, enabling precise activity recognition ...
RFnet: Automatic Gesture Recognition and Human Identification Using Time Series RFID Signals ... Human Gesture Recognition in Still Images Using GMM Approach.
RFnet: Automatic Gesture Recognition and Human Identification Using Time Series RFID Signals · Han Ding, Lei Guo, Cui Zhao, Fei Wang, Ge Wang, Zhiping Jiang ...
In this paper, we present SVM and HMM-based methods for monitoring interactions with passive RFID tagged objects.