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An agile approach for human gesture detection using synthet..:

, 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,

Gigie, Andrew ; Rani, Smriti ; Chowdhury, Arijit.. - p. 558-564 , 2019

Link: https://dl.acm.org/doi/10.1145/3341162.3349332

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>An agile approach for human gesture detection using synthetic radar data</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3349332&Exemplar=1&LAN=DE
				
A1 Gigie, Andrew
A1 Rani, Smriti
A1 Chowdhury, Arijit
A1 Chakravarty, Tapas
A1 Pal, Arpan
PB ACM
YR 2019
K1 gesture detection
K1 kinect datasets
K1 physical model based synthetic data generation
K1 radar simulation framework
K1 synthetic data generation
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Human-centered computing
K1 Visualization
K1 Visualization systems and tools
K1 Ubiquitous and mobile computing
K1 Empirical studies in ubiquitous and mobile computing
K1 Decision support systems
SP 558
OP 564
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3341162.3349332
DO https://dl.acm.org/doi/10.1145/3341162.3349332
SF ELIB - SuUB Bremen

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