An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition-Reference-Cited by-同舟云学术

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An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition

Published:2024-06-30 Issue: Volume:27 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Ye Yulin¹,Cui Tianxiang²,Guo Shisheng³,Cui Guolong³

Affiliation:

1. University of Electronic Science and Technology of China,Glasgow College,Chengdu,China

2. University of Nottingham Ningbo China,School of Computer Science,Ningbo,China

3. University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650107.pdf?arnumber=10650107

Reference39 articles.

1. Vision based hand gesture recognition for human computer interaction: a survey

2. Real-time Arm Gesture Recognition in Smart Home Scenarios via Millimeter Wave Sensing

3. Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge

4. ScatterHough: Automatic Lane Detection from Noisy LiDAR Data

5. Low-Cost Automated Visual Screw Inspection System

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