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Hybrid Method of Human Limb Joints Positioning—Hand Movement Case Study

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 472))

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Abstract

Precise and unambiguous limbs motion tracking is one of the key aspects laying behind natural human-machine communication. The paper presents a novel approach to depth sensor (Microsoft Kinect) and inertial measurement units (IMU) data fusion, providing more precise and stable hand joints tracking. The new method substitutes, mainly described in literature, sensors-derived joints position fusion with sensors-derived bones orientations fusion and subsequent joints positions estimation. Obtained joints positioning precision became even 25 % better than in other solutions. The paper comprises also the method evaluation results. It was verified both against professional motion tracking VICON system and Kalkbrenner method [6], the most relevant to the presented solution.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Lodz University of Technology, Lodz, Poland

    Grzegorz Glonek & Adam Wojciechowski

Authors
  1. Grzegorz Glonek
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  2. Adam Wojciechowski
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Corresponding author

Correspondence to Grzegorz Glonek .

Editor information

Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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© 2016 Springer International Publishing Switzerland

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Glonek, G., Wojciechowski, A. (2016). Hybrid Method of Human Limb Joints Positioning—Hand Movement Case Study. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 472. Springer, Cham. https://doi.org/10.1007/978-3-319-39904-1_28

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  • DOI: https://doi.org/10.1007/978-3-319-39904-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39903-4

  • Online ISBN: 978-3-319-39904-1

  • eBook Packages: EngineeringEngineering (R0)

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