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Neural Computing and Applications
Published in: Neural Computing and Applications 10/2020

23-03-2019 | Original Article

Decomposition algorithm for depth image of human health posture based on brain health

Authors: Bowen Luo, Ying Sun, Gongfa Li, Disi Chen, Zhaojie Ju

Published in: Neural Computing and Applications | Issue 10/2020

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Abstract

At this stage, brain health can be directly expressed in the human hand posture estimation. Therefore, model estimation of healthy human hand posture can also be used as a criterion for brain health. The recognition algorithm of healthy human hand gesture based on global feature extraction of depth map sequence is not enough to analyze the motion correlation of healthy human hand posture, which leads to the need to improve the accuracy of human body hand gesture description and the change of movement speed of robustness. After analyzing the characteristics of healthy human hand movement in detail, this paper proposes a hand posture decomposition algorithm based on depth map sequence. The goal is to find information that plays a key role in hand gesture recognition in the depth map sequence. The algorithm can remove redundant information and improve the robustness of the recognition algorithm.
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Metadata
Title
Decomposition algorithm for depth image of human health posture based on brain health
Authors
Bowen Luo
Ying Sun
Gongfa Li
Disi Chen
Zhaojie Ju
Publication date
23-03-2019
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 10/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04141-9

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