A MIMO Radar-based Few-Shot Learning Approach for Human-ID-Reference-Cited by-同舟云学术

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A MIMO Radar-based Few-Shot Learning Approach for Human-ID

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 30th European Signal Processing Conference (EUSIPCO)
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Author:

Weller Pascal¹,Aziz Fady¹,Abdulatif Sherif²,Schneider Urs¹,Huber Marco F.³

Affiliation:

1. Fraunhofer IPA,Department of Bio-mechatronic Systems,Stuttgart,Germany

2. Institute of Signal Processing and System Theory, University of Stuttgart,Germany

3. Institute for Industrial Manufacturing and Factory Operation IFF, University of Stuttgart,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909825.pdf?arnumber=9909825

Reference35 articles.

1. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

2. Doppler Radar for the Extraction of Biomechanical Parameters in Gait Analysis

3. Implementation of MIMO Beamforming on an OTS FMCW Automotive Radar

4. Compact 3D imaging radar based on FMCW driven frequency-scanning antennas

5. Angle, elevation, PRF, and illumination in radar microDoppler for security applications

Cited by 3 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. Utilization of two types of feature datasets with image-based and time series deep learning models in recognizing walking status and revealing personal identification;Advanced Engineering Informatics;2024-10

2. OCro: Open-Set Cross-Domain Human Activity Recognition Based on Radio Frequency;IEEE Internet of Things Journal;2023-12-15

3. Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

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