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Performance of End-to-end Model Based on Convolutional LSTM for Human Activity Recognition
Home
Publications
Performance of End-to-end Model Based on Convolutional LSTM for Human Activity Recognition
Performance of End-to-end Model Based on Convolutional LSTM for Human Activity Recognition
Authors:
YS
Young Ghyu Sun
Young Ghyu Sun
SK
Soo Hyun Kim
Soo Hyun Kim
SL
Seongwoo Lee
Seongwoo Lee
JS
Joonho Seon
Joonho Seon
SL
SangWoon Lee
SangWoon Lee
CK
Cheong Ghil Kim
Cheong Ghil Kim
JK
Jin Young Kim
Jin Young Kim
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27 August 2022
journal article
research article
Published by
River Publishers
in
Journal of Web Engineering
Vol. 21
(5)
,
1671-1690
DOI:
10.13052/jwe1540-9589.21512
Abstract
No abstract available
Keywords
HUMAN ACTIVITY RECOGNITION
VIDEO-BASED MODEL
DEEP LEARNING
CONVOLUTIONAL LONG-SHORT TERM MEMORY
END-TO-END MODEL
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Cited by 7 articles
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