MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition-Reference-Cited by-同舟云学术

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MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition

Published:2024-05 Issue:5 Volume:28 Page:2687-2698
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cheng Dongzhou¹^ORCID,Zhang Lei¹^ORCID,Qin Lutong¹^ORCID,Wang Shuoyuan²^ORCID,Wu Hao³^ORCID,Song Aiguo⁴^ORCID

Affiliation:

1. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China

2. Department of Computer and Information Science, University of Macau, Taipa, China

3. School of Information Science and Engineering, Yunnan University, Kunming, China

4. School of Instrument Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Cultivating Plan Program for the Leader in Science and Technology of Yunnan Province, China

Ten Thousand Talent Plans for Young of Yunnan Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10460073.pdf?arnumber=10460073

Reference47 articles.

1. Deep learning for sensor-based activity recognition: A survey

2. Deep Learning for Sensor-based Human Activity Recognition

3. Masked reconstruction based self-supervision for human activity recognition

4. Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition

5. Multi-task Self-Supervised Learning for Human Activity Detection

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