A Convolutional Neural Network Model for Privacy-Sensitive Ultra-Wideband Radar-Based Human Static Posture Classification and Fall Detection-Reference-Cited by-同舟云学术

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A Convolutional Neural Network Model for Privacy-Sensitive Ultra-Wideband Radar-Based Human Static Posture Classification and Fall Detection

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Statistical Signal Processing Workshop (SSP)
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Author:

Thipprachak Khirakorn¹,Tangamchit Poj²,Lerspalungsanti Sarawut³

Affiliation:

1. King Mongkut's University of Technology Thonburi,Department of Control Systems and Instrumentation,Bangkok,Thailand

2. King Mongkut's University of Technology Thonburi,Department of Control Systems and Instrumentation Engineering,Bangkok,Thailand

3. National Science and Technology Development Agency,National Metal and Materials Technology Center,Pathum Thani,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10207925/10207926/10208028.pdf?arnumber=10208028

Reference12 articles.

1. Generative Adversarial Networks for Classification of Micro-Doppler Signatures of Human Activity

2. On Spatial Diversity in WiFi-Based Human Activity Recognition: A Deep Learning-Based Approach

3. Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning

4. CapsFall: Fall Detection Using Ultra-Wideband Radar and Capsule Network;sadreazami;IEEE Access,2019

5. Accurate Hierarchical Human Actions Recognition From Kinect Skeleton Data

Cited by 1 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. UWB Radar Signal Kick Detection for Tailgate Unlocking Based on Spatio-Temporal Network;2024 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST);2024-05-01

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