Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers-Reference-Cited by-同舟云学术

Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers

Published:2023-05 Issue: Volume:628 Page:542-557
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Venkatachalam K.,Yang Zaoli,Trojovský Pavel^ORCID,Bacanin Nebojsa^ORCID,Deveci Muhammet,Ding Weiping^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference39 articles.

1. Context-aware and dynamically adaptable activity recognition with smartwatches A case study on smoking;Agac;Comput. Electr. Eng.,2021

2. Personalized human activity recognition based on integrated wearable sensor and transfer learning;Fu;Sensors,2021

3. Device-free single-user activity recognition using diversified deep ensemble learning;Cui;Appl. Soft Comput.,2021

4. Real-time human activity recognition using conditionally parametrized convolutions on mobile and wearable devices;Cheng;IEEE Sensors J.,2022

5. A CNN-LSTM Approach to human activity recognition;Mutegeki,2020

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