Hand-Gesture Recognition Using Two-Antenna Doppler Radar With Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Hand-Gesture Recognition Using Two-Antenna Doppler Radar With Deep Convolutional Neural Networks

Published:2019-04-15 Issue:8 Volume:19 Page:3041-3048
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Skaria Sruthy,Al-Hourani Akram^ORCID,Lech Margaret,Evans Robin J.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/8668589/08610109.pdf?arnumber=8610109

Cited by 191 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. mm-CUR: A Novel Ubiquitous, Contact-free, and Location-aware Counterfeit Currency Detection in Bundles Using Millimeter-Wave Sensor;ACM Transactions on Sensor Networks;2024-09-05

2. An accurate estimation of hand gestures using optimal modified convolutional neural network;Expert Systems with Applications;2024-09

3. Millimeter Wave Radar Gesture Recognition Based on ECC;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Hand Gestures Recognition Model Using Adaptive Feature Extraction with Attention-Based Hybrid Deep Learning via Optimization Strategy;International Journal of Pattern Recognition and Artificial Intelligence;2024-06-22

5. A Cost-Effective Single-Channel Displacement Measurement Technique Without Down-Conversion Using Low-IF Doppler Radar;2024 IEEE/MTT-S International Microwave Symposium - IMS 2024;2024-06-16

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