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Towards Deep Learning based Hand Keypoints Detection for Ra..:

, In: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference,

Gattupalli, Srujana ; Babu, Ashwin Ramesh ; Brady, James Robert.. - p. 31-37 , 2018

Link: https://dl.acm.org/doi/10.1145/3197768.3201538

RT 
T1 <cTitle>Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference</cTitle>: T1 <Title>Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3201538&Exemplar=1&LAN=DE
				
A1 Gattupalli, Srujana
A1 Babu, Ashwin Ramesh
A1 Brady, James Robert
A1 Makedon, Fillia
A1 Athitsos, Vassilis
PB ACM
YR 2018
K1 cognitive behavior assessment
K1 computer vision
K1 convolutional neural networks
K1 deep learning
K1 gesture recognition
K1 hand keypoints detection
K1 hand pose recognition
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Interaction techniques
K1 Gestural input
K1 Visualization
K1 Visualization application domains
K1 Information visualization
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision tasks
K1 Scene understanding
K1 Activity recognition and understanding
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Computer vision problems
K1 Tracking
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
K1 Multi-task learning
K1 Transfer learning
K1 Object recognition
SP 31
OP 37
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3197768.3201538
DO https://dl.acm.org/doi/10.1145/3197768.3201538
SF ELIB - SuUB Bremen

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