OCro: Open-Set Cross-Domain Human Activity Recognition Based on Radio Frequency-Reference-Cited by-同舟云学术

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OCro: Open-Set Cross-Domain Human Activity Recognition Based on Radio Frequency

Published:2023-12-15 Issue:24 Volume:10 Page:22569-22580
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Lv Pin¹^ORCID,Luo Shuyu¹^ORCID,Xu Jia¹^ORCID,Chen Zhe²,Liu Heng³^ORCID

Affiliation:

1. School of Computer, Electronics and Information, and the Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning, China

2. School of Computer Science, Fudan University, Shanghai, China

3. School of Information and Management, Guangxi Medical University, Nanning, China

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Innovation Project of Guangxi Graduate Education

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/ielx7/6488907/10353047/10217062.pdf?arnumber=10217062

Reference45 articles.

1. RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network

2. Environment-Robust Device-Free Human Activity Recognition With Channel-State-Information Enhancement and One-Shot Learning

3. RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices

4. AmbiEar

5. Measuring Micrometer-Level Vibrations with mmWave Radar

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