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Activity recognition using ST-GCN with 3D motion data:
, In:
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
,
Cao, Xin
;
Kudo, Wataru
;
Ito, Chihiro
.. - p. 689-692 , 2019
Link:
https://dl.acm.org/doi/10.1145/3341162.3345581
RT T1 <cTitle>Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Activity recognition using ST-GCN with 3D motion data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3345581&Exemplar=1&LAN=DE A1 Cao, Xin A1 Kudo, Wataru A1 Ito, Chihiro A1 Shuzo, Masaki A1 Maeda, Eisaku PB ACM YR 2019 K1 activity recognition K1 graph network K1 human activity K1 motion capture K1 nursing activity K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User models K1 Computing methodologies K1 Machine learning K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Activity recognition and understanding SP 689 OP 692 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3345581 DO https://dl.acm.org/doi/10.1145/3341162.3345581 SF ELIB - SuUB Bremen
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