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MEMS Applications for Obesity Prevention

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Biomechanical Microsystems

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 24))

Abstract

Accurate measurements of the dynamics of the human body begins with the measurement data by filtering the acceleration signal evaluation taking into account the different types of human daily physical activity. Considering acceleration measuring device attached several location areas are defined on the body. The methodology of the design of micro acceleration measuring device is presented. The adequacy of accelerometer mathematical model to the physical tested experimentally using a special technique, which consists of six CCD cameras. Methodology and a special method for qualitative analysis of the human body surface tissue motion is presented. Multi level computational model assess the rheological properties of the human body surface. Interesting behavior is observed when comparing the two stages of the jump: the upper position when the velocity is zero, and the maximum speed during landing. Simulation results show that reduced surface tissue rheological model is independent of belt tension force, which is used for mounting the device. Qualitative evaluation of vertical jump, proved that the disregard of human body surface tissue rheological properties are a source of errors (up to 34%) in the analysis of human body movement.

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Authors and Affiliations

  1. Institute of Mechatronics, Kaunas University of Technology, Kaunas, Lithuania

    Vytautas Ostasevicius & Vytautas Jurenas

  2. Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Kaunas, Lithuania

    Giedrius Janusas, Arvydas Palevicius & Rimvydas Gaidys

Authors
  1. Vytautas Ostasevicius
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  2. Giedrius Janusas
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  3. Arvydas Palevicius
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  4. Rimvydas Gaidys
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  5. Vytautas Jurenas
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Correspondence to Vytautas Ostasevicius .

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Ostasevicius, V., Janusas, G., Palevicius, A., Gaidys, R., Jurenas, V. (2017). MEMS Applications for Obesity Prevention. In: Biomechanical Microsystems . Lecture Notes in Computational Vision and Biomechanics, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-54849-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-54849-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54848-7

  • Online ISBN: 978-3-319-54849-4

  • eBook Packages: EngineeringEngineering (R0)

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