Have a personal or library account? Click to login
Human activity recognition with fine-tuned CNN-LSTM Cover

Human activity recognition with fine-tuned CNN-LSTM

Journal of Electrical Engineering
Volume 75 (2024): Issue 1 (February 2024)
By: Erdal Genc,  Mustafa Eren Yildirim and  Yucel Batu Salman  
Open Access
|Feb 2024

Authors

Erdal Genc

erdal.genc09@gmail.com

Equinor UK Ltd, London, United Kingdom

Mustafa Eren Yildirim

eren.yildirim@aum.edu.mt

Department of Electronics and Communications Engineering, American University of Malta
Department of Electrical and Electronics Engineering, Bahçeşehir University, Turkey

Yucel Batu Salman

batu.salman@bau.edu.tr

Department of Software Engineering, Bahcesehir University, Turkey
DOI: https://doi.org/10.2478/jee-2024-0002 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Journal RSS Feed
Language: English
Page range: 8 - 13
Submitted on: Nov 8, 2023
|
Published on: Feb 10, 2024
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
human activity recognition,
convolutional neural network,
KTH dataset
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Erdal Genc, Mustafa Eren Yildirim, Yucel Batu Salman, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 75 (2024): Issue 1 (February 2024)Next article