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Motion Capture Systems for Jump Analysis

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Hybrid Artificial Intelligent Systems (HAIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9121))

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Abstract

This paper presents several methods used in motion capture to measure jumps. The traditional systems to acquire jump information are force plates, but they are very expensive to most people. Amateur sports enthusiasts that want to improve their performance, do not have enough money to spend in professional systems (\(\pm 20.000\) EUR). The price reduction of electronic devices, specifically the inertial measurement units (IMU), are generating new methods of motion capture. In this paper we present the state-of-art motion capture systems for this purpose, from the classical force plates to latest released IMUs. Noise reduction techniques, as an inherent part of motion capture systems, will be reviewed.

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Notes

  1. 1.

    http://www.xbox.com/en-US/xbox-one/accessories/kinect-for-xbox-one.

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Authors and Affiliations

  1. DeustoTech - University of Deusto, Av. Las Universidades 24, 48007, Bilbao, Bizkaia, Basque Country, Spain

    Sendoa Rojas-Lertxundi, Sergio Huerta & Pablo Garía Bringas

  2. KIROLENE Public Centre for Sports Education, San Ignazio Auzunea, 5, 48200, Durango, Bizkaia, Basque Country, Spain

    J. Ramón Fernández-López

Authors
  1. Sendoa Rojas-Lertxundi
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  2. J. Ramón Fernández-López
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  3. Sergio Huerta
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  4. Pablo Garía Bringas
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Correspondence to Sendoa Rojas-Lertxundi .

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Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Enrique Onieva

  2. University of Deusto, Bilbao, Spain

    Igor Santos

  3. University of Deusto, Bilbao, Spain

    Eneko Osaba

  4. Universidad de Salamanca, Salamanca, Spain

    Héctor Quintián

  5. Universidad de Salamanca, Salamanca, Spain

    Emilio Corchado

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Rojas-Lertxundi, S., Fernández-López, J.R., Huerta, S., Garía Bringas, P. (2015). Motion Capture Systems for Jump Analysis. In: Onieva, E., Santos, I., Osaba, E., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2015. Lecture Notes in Computer Science(), vol 9121. Springer, Cham. https://doi.org/10.1007/978-3-319-19644-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-19644-2_10

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