Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network-Reference-Cited by-同舟云学术

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Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network

Published:2016 Issue: Volume:4 Page:7125-7130
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Youngwook^ORCID,Toomajian Brian

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/7419931/07590035.pdf?arnumber=7590035

Cited by 236 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. Classification of SEMG Signal Based Hand Movements by Using Support Vector Machine;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10

2. Measurement of the Radial and Angular Velocity of Tagged Objects Using Interferometric Harmonic Micro-Doppler Radar;2024 IEEE/MTT-S International Microwave Symposium - IMS 2024;2024-06-16

3. A Lightweight Network With Multifeature Fusion for mmWave Radar-Based Hand Gesture Recognition;IEEE Sensors Journal;2024-06-15

4. Universal Software Only Radar with All Waveforms Simultaneously on a Single Platform;Remote Sensing;2024-06-01

5. TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars;2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI);2024-05-13

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