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Design and Analysis of Knee-Joint Force Reduction Device and Fatigue Detection System

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Artificial Intelligence Algorithms and Applications (ISICA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1205))

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Abstract

According to mechanics principle, force reduction device which is based on slider crank mechanism has been proposed. Our study developed the device’s kinematics and dynamics model, and evaluated the value of reduced force by analyzing its dynamics and kinetics deeply. Moreover, by the means of changing conditions, factors which influence force reduction had been found. For fatigue detection, we came up with an algorithm which is based on surface electromyography digital transducer and is able to monitor fatigue degree in real-time.

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Author information

Authors and Affiliations

  1. Computer Science Department, Guangdong University of Science and Technology, Dongguan, China

    Caihua Qiu & Feng Ding

Authors
  1. Caihua Qiu
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  2. Feng Ding
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Corresponding author

Correspondence to Feng Ding .

Editor information

Editors and Affiliations

  1. South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, China

    Wei Li

  3. South China Agricultural University, Guangzhou, China

    Hui Wang

  4. The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Qiu, C., Ding, F. (2020). Design and Analysis of Knee-Joint Force Reduction Device and Fatigue Detection System. In: Li, K., Li, W., Wang, H., Liu, Y. (eds) Artificial Intelligence Algorithms and Applications. ISICA 2019. Communications in Computer and Information Science, vol 1205. Springer, Singapore. https://doi.org/10.1007/978-981-15-5577-0_47

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  • DOI: https://doi.org/10.1007/978-981-15-5577-0_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5576-3

  • Online ISBN: 978-981-15-5577-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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