Name
Title | ||
|---|---|---|
CentralNet Method for Human motion Recognition Based on Multi-feature Fusion of Millimeter Wave Radar |
Abstract | ||
|---|---|---|
Objective: In this research, we propose a human motion recognition method based on multi-feature fusion of millimeter Wave(mmWave) radar, which is implemented by CentralNet. Aiming at solving the problems that the method based on camera is susceptible to light and weather, and the flexibility of wearable devices is poor. Methods: Firstly, Radar data of moving human body is collected by millimeter-... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICSPCC52875.2021.9564487 | 2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) |
Keywords | DocType | ISBN |
Training,Time-frequency analysis,Fuses,Wearable computers,Millimeter wave radar,Radar imaging,Signal processing | Conference | 978-1-6654-2918-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||