Toward Robust Device-Free Gesture Recognition Based on Intrinsic Spectrogram of mmWave Signals-Reference-Cited by-同舟云学术

Toward Robust Device-Free Gesture Recognition Based on Intrinsic Spectrogram of mmWave Signals

Published:2022-10-01 Issue:19 Volume:9 Page:19318-19329
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wu Jingmiao¹^ORCID,Wang Jie¹^ORCID,Gao Qinghua²^ORCID,Cheng Mingyuan¹,Pan Miao³^ORCID,Zhang Haixia⁴^ORCID

Affiliation:

1. School of Information Science and Technology, Dalian Maritime University, Dalian, China

2. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China

3. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA

4. Shandong Provincial Key Laboratory of Wireless Communication Technologies and the School of Control Science and Engineering, Shandong University, Jinan, China

Funder

National Natural Science Foundation of China

2021 Basic Scientific Research Project of Education Department of Liaoning Province

Cultivation Program for the Excellent Doctoral Dissertation of Dalian Maritime University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9899827/09750107.pdf?arnumber=9750107

Reference37 articles.

1. CrossSense

2. Practical Device-Free Gesture Recognition Using WiFi Signals Based on Metalearning

3. Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi

4. Towards Environment Independent Device Free Human Activity Recognition

5. Simultaneous Stationary Scene Imaging and Ground Moving Target Indication for High-Resolution Wide-Swath SAR System

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