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Automatic Exercise Counting and Calorie Calculation for Outdoor Exercise Equipment in the Park

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Advances in Human Factors in Sports and Outdoor Recreation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 496))

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Abstract

In this paper, we present algorithms that automatically count the number of repetitions and calculate the calories consumed on outdoor exercise equipment. Using sensed data from a tri-axial accelerometer, the proposed algorithm can reliably measure the number of repetitions on four different outdoor fitness machines. Using the same accelerometer, a calorie calculation algorithm for a lateral pull-down machine is also proposed. The experimental results prove that the proposed algorithm is robust to any deformation of the sensor direction as well as various types of exercise patterns. The average accuracy of the counting algorithm is 0.9722 (97.22 %).

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References

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Acknowledgments

This work was supported by the ICT R&D program of MSIP/IITP. [B0126-15-1013, Development of generation and consumption of Jigsaw-liked Ultra-Wide Viewing Spacial Media].

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Authors and Affiliations

  1. Myongji University, #5721, 5th Eng. Bldg. 116 Myongji-ro, Cheoin-gu, Yongin-si, 17058, Republic of Korea

    Sang-Kyun Kim & Kyong Sik Choi

Authors
  1. Sang-Kyun Kim
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  2. Kyong Sik Choi
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Corresponding author

Correspondence to Sang-Kyun Kim .

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Editors and Affiliations

  1. Centre for Human Factors and Sociotechni, University of the Sunshine Coast Centre for Human Factors and Sociotechni, Maroochydore, Queensland, Australia

    Paul Salmon

  2. Laboratory of Sport, Expertise and Performance, EA 7370, Department de la Recherche, INSEP Department de la Recherche, Paris, Australia

    Anne-Claire Macquet

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Kim, SK., Choi, K.S. (2017). Automatic Exercise Counting and Calorie Calculation for Outdoor Exercise Equipment in the Park. In: Salmon, P., Macquet, AC. (eds) Advances in Human Factors in Sports and Outdoor Recreation. Advances in Intelligent Systems and Computing, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-319-41953-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-41953-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41952-7

  • Online ISBN: 978-3-319-41953-4

  • eBook Packages: EngineeringEngineering (R0)

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