Location-Independent Doppler Sensing System for Device-Free Daily Living Activity Recognition-Reference-Cited by-同舟云学术

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Location-Independent Doppler Sensing System for Device-Free Daily Living Activity Recognition

Published:2023 Issue: Volume:11 Page:127754-127768
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Misaki Shinya¹^ORCID,Yoshida Makoto¹^ORCID,Choi Hyuckjin²^ORCID,Matsui Tomokazu¹,Fujimoto Manato³^ORCID,Yasumoto Keiichi¹^ORCID

Affiliation:

1. Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan

2. Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan

3. Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan

Funder

National Institute of Information and Communications Technology (NICT), Japan

Japan Society for the Promotion of Science (JSPS) KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10310205.pdf?arnumber=10310205

Reference36 articles.

1. FarSense

2. Geolocation tracking for human identification and activity recognition using radar deep transfer learning

3. LungTrack

4. Human activity classification based on micro-Doppler signatures using a support vector machine;kim;IEEE Trans Geosci Remote Sens,2009

5. WiDetect

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