Multiple-instance domain adaptation for cost-effective sensor-based human activity recognition-Reference-Cited by-同舟云学术

Multiple-instance domain adaptation for cost-effective sensor-based human activity recognition

Published:2022-08 Issue: Volume:133 Page:114-123
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Prabono Aria Ghora,Yahya Bernardo Nugroho,Lee Seok-Lyong

Funder

Korea Ministry of Science ICT and Future Planning

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference47 articles.

1. Physical activity recognition from smartphone accelerometer data for user context awareness sensing;Wannenburg;IEEE Trans. Syst. Man Cybern. Syst.,2017

2. A robust human activity recognition system using smartphone sensors and deep learning;Hassan;Future Gener. Comput. Syst.,2018

3. Y. Zhang, G. Tian, S. Zhang, C. Li, A knowledge-based approach for multiagent collaboration in smart home: From activity recognition to guidance service, IEEE Trans. Instrum. Meas..

4. A knowledge-driven approach for activity recognition in smart homes based on activity profiling;Rawashdeh;Future Gener. Comput. Syst.,2020

5. Automatic assessment of functional health decline in older adults based on smart home data;Aramendi;J. Biomed. Inform.,2018

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