A Lightweight Deep Learning Solution for mmWave Human Activity Recognition in Smart Health based on Discrete Fourier Transformation
Author:
Affiliation:
1. School of Information Technology Illinois State University
2. Kennesaw State University,Department of Information Technology
3. University of Massachusetts Dartmouth,Electrical & Computer Engineering
Funder
the US National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279304.pdf?arnumber=10279304
Reference22 articles.
1. Human Health Activity Intelligence Based on mmWave Sensing and Attention Learning
2. mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs
3. Radar-Based Human Activity Recognition Using Hybrid Neural Network Model With Multidomain Fusion
4. MMPoint-GNN: Graph Neural Network with Dynamic Edges for Human Activity Recognition through a Millimeter-Wave Radar
5. Real-Time Human Motion Behavior Detection via CNN Using mmWave Radar
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