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Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6997d35b37f73b29c6662c4c2217df5
https://doi.org/10.1109/siu55565.2022.9864690
https://doi.org/10.1109/siu55565.2022.9864690
Autor:
Ozen Ozkaya, Nilay Tufek
Publikováno v:
SIU
In recent years, action recognition is becoming more popular in many fields such as person surveillance, human-robot interaction due to the widespread usage of various sensors. In this study, we aimed to develop an action recognition system that is i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b41e641826de638e0387fddc133a889
https://doi.org/10.1109/siu.2019.8806395
https://doi.org/10.1109/siu.2019.8806395
Publikováno v:
IEEE Sensors Journal
Tufek, N, Yalcin, M, Kalaoglu, F, Li, Y & Bahadir, S K 2019, ' Human Action Recognition Using Deep Learning Methods on Limited Sensory Data ', IEEE Sensors Journal . https://doi.org/10.1109/JSEN.2019.2956901
Tufek, N, Yalcin, M, Kalaoglu, F, Li, Y & Bahadir, S K 2019, ' Human Action Recognition Using Deep Learning Methods on Limited Sensory Data ', IEEE Sensors Journal . https://doi.org/10.1109/JSEN.2019.2956901
In recent years, due to the widespread usage of various sensors action recognition is becoming more popular in many fields such as person surveillance, human-robot interaction etc. In this study, we aimed to develop an action recognition system by us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db1687ff3feb89ecfb8863de51b8be16
Publikováno v:
SIU
In recent years, human activity recognition is becoming more popular in many areas such as human-robot interaction because of easy availability and widespread use of RGB-D sensors. The aim of this study is to automatically recognize human activities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58c5cc1ca1882b9a238c1a3e773cb03a
https://doi.org/10.1109/siu.2018.8404173
https://doi.org/10.1109/siu.2018.8404173