Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Electrical Engineering
Volume 75 (2024): Issue 1 (February 2024)
Open Access
Human activity recognition with fine-tuned CNN-LSTM
Erdal Genc
Erdal Genc
,
Mustafa Eren Yildirim
Mustafa Eren Yildirim
and
Yucel Batu Salman
Yucel Batu Salman
| Feb 10, 2024
Journal of Electrical Engineering
Volume 75 (2024): Issue 1 (February 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Feb 10, 2024
Page range:
8 - 13
Received:
Nov 08, 2023
DOI:
https://doi.org/10.2478/jee-2024-0002
Keywords
human activity recognition
,
convolutional neural network
,
KTH dataset
© 2024 Erdal Genc et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.