Feature-level combination of skeleton joints and body parts for accurate aggressive and agitated behavior recognition
Published 2016 View Full Article
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Title
Feature-level combination of skeleton joints and body parts for accurate aggressive and agitated behavior recognition
Authors
Keywords
Singular Value Decomposition, Recognition Accuracy, Challenging Behavior, Ensemble Method, Kinect Sensor
Journal
Journal of Ambient Intelligence and Humanized Computing
Volume 8, Issue 6, Pages 957-976
Publisher
Springer Nature
Online
2016-10-04
DOI
10.1007/s12652-016-0415-y
References
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- (2008) Alex Mihailidis et al. BMC Geriatrics
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