GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning-Reference-Cited by-同舟云学术

GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning

Published:2023-01-01 Issue:1 Volume:10 Page:625-636
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Deng Lang¹^ORCID,Yang Jianfei¹^ORCID,Yuan Shenghai¹,Zou Han²^ORCID,Lu Chris Xiaoxuan³^ORCID,Xie Lihua¹^ORCID

Affiliation:

1. School of Electrical and Electronics Engineering, Nanyang Technological University, Jurong West, Singapore

2. Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA

3. School of Informatics, University of Edinburgh, EH8 9AB, U.K.

Funder

NTU Presidential Postdoctoral Fellowship, “Adaptive Multimodal Learning for Robust Sensing and Recognition in Smart Cities” Project Fund, Nanyang Technological University, Singapore

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/ielx7/6488907/9997152/09887951.pdf?arnumber=9887951

Reference75 articles.

1. Attention-based dual-stream vision transformer for radar gait recognition;chen;arXiv 2111 12290,2021

2. A review of research on co‐training

3. A Survey on Gait Recognition via Wearable Sensors

4. Consensus Adversarial Domain Adaptation

5. Gait recognition using wifi signals

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