CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition-Reference-Cited by-同舟云学术

CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition

Published:2023 Issue: Volume:1 Page:493-504
ISSN:2832-7357
Container-title:IEEE Transactions on Radar Systems
language:
Short-container-title:Trans. Rad. Sys.

Author:

Biswas Sabyasachi¹,Ayna Cemre Omer¹,Gurbuz Sevgi Z.²^ORCID,Gurbuz Ali C.¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering and the Information Processing and Sensing Laboratory, Mississippi State University, Mississippi State, MS, USA

2. Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USA

Funder

National Science Foundation (NSF) Awards

American Association of University Women (AAUW) via a Research Publication Grant in Engineering, Medicine, and Science

Air Force Office of Scientific Research (AFOSR) Award

U.S. Engineer Research and Development Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/9931145/10012287/10236478-aam.pdf

Reference39 articles.

1. American Sign Language Recognition Using RF Sensing

2. Design of an FMCW radar baseband signal processing system for automotive application

3. Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Enhanced Activity Recognition;2024 IEEE Radar Conference (RadarConf24);2024-05-06

2. Comparison Between Wi-Fi-CSI and Radar-Based HAR;2024 IEEE Radar Conference (RadarConf24);2024-05-06

3. FMCW Radar Range Profile and Micro-Doppler Signature Fusion for Improved Traffic Signaling Motion Classification;2024 IEEE Radar Conference (RadarConf24);2024-05-06

4. Deep Learning Based High-Resolution Frequency Estimation for Sparse Radar Range Profiles;2024 IEEE Radar Conference (RadarConf24);2024-05-06

5. Overview of Radar-Based Gait Parameter Estimation Techniques for Fall Risk Assessment;IEEE Open Journal of Engineering in Medicine and Biology;2024