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Generalized and Efficient Skill Assessment from IMU Data wi..:

Khan, Aftab ; Mellor, Sebastian ; King, Rachel...
ACM Transactions on Computing for Healthcare. 2 (2020) 1 - p. 1-21 , 2020

Link: https://dl.acm.org/doi/10.1145/3422168

RT Journal
T1 <Title>Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3422168&Exemplar=1&LAN=DE
				
A1 Khan, Aftab
A1 Mellor, Sebastian
A1 King, Rachel
A1 Janko, Balazs
A1 Harwin, William
A1 Sherratt, R. Simon
A1 Craddock, Ian
A1 Plötz, Thomas
PB ACM
YR 2020
SN 2637-8051
K1 Activity recognition
K1 machine learning for sports and health analytics
K1 skill assessment
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
K1 Supervised learning by classification
K1 Applied computing
K1 Life and medical sciences
K1 Health informatics
K1 Mathematics of computing
K1 Probability and statistics
K1 Statistical paradigms
K1 Time series analysis
K1 Machine learning approaches
K1 Kernel methods
K1 Information systems
K1 Information systems applications
K1 Decision support systems
JF ACM Transactions on Computing for Healthcare
VO 2
IS 1
SP 1
OP 21
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3422168
DO https://dl.acm.org/doi/10.1145/3422168
SF ELIB - SuUB Bremen

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