Gesture-mmWAVE: Compact and Accurate Millimeter-Wave Radar-Based Dynamic Gesture Recognition for Embedded Devices-Reference-Cited by-同舟云学术

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Gesture-mmWAVE: Compact and Accurate Millimeter-Wave Radar-Based Dynamic Gesture Recognition for Embedded Devices

Published:2024-06 Issue:3 Volume:54 Page:337-347
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Jin Biao¹^ORCID,Ma Xiao¹^ORCID,Hu Bojun¹^ORCID,Zhang Zhenkai¹^ORCID,Lian Zhuxian¹^ORCID,Wang Biao¹^ORCID

Affiliation:

1. Ocean College, Jiangsu University of Science and Technology, Zhenjiang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

China Postdoctoral Science Foundation

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221037/10537796/10509809.pdf?arnumber=10509809

Reference38 articles.

1. Design of Intelligent Human-Computer Interaction System for Hard of Hearing and Non-Disabled People

2. The Role of Artificial Intelligence in Human-Computer Interaction: Using a Smart Topic Extraction System

3. Gesture-Based Human-Machine Interaction: Taxonomy, Problem Definition, and Analysis

4. Hand Gesture Recognition With Flexible Capacitive Wristband Using Triplet Network in Inter-Day Applications

5. A Hierarchical Hand Gesture Recognition Framework for Sports Referee Training-Based EMG and Accelerometer Sensors

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