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

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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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Acknowledgements

This work was supported by Grants of National Natural Science Foundation of China (Grant Nos. 51575407, 51505349, 51575338, 51575412, 61733011) and the Grants of National Defense Pre-Research Foundation of Wuhan University of Science and Technology (GF201705). This paper is funded by Wuhan University of Science and Technology graduate students’ short-term study abroad special funds.

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Authors and Affiliations

  1. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, 430081, China

    Bowen Luo, Ying Sun & Gongfa Li

  2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China

    Ying Sun

  3. Research Center of Biologic Manipulator and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, 430081, China

    Gongfa Li

  4. Institute of Precision Manufacturing, Wuhan University of Science and Technology, Wuhan, 430081, China

    Gongfa Li

  5. School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, UK

    Disi Chen & Zhaojie Ju

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  1. Bowen Luo
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Correspondence to Gongfa Li.

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Luo, B., Sun, Y., Li, G. et al. Decomposition algorithm for depth image of human health posture based on brain health. Neural Comput & Applic 32, 6327–6342 (2020). https://doi.org/10.1007/s00521-019-04141-9

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