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A motion capture system for the study of human manufacturing repetitive motions

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Abstract

This manuscript presents a method for motion capture–based manufacturing time and motion studies. The proposed human motion analytics system uses motion capture technology to collect, transform, store, and analyze data from repetitive physical motions performed by manufacturing workers. The system supports the isolation of basic simple motions for analysis using statistical process control and data analytics techniques. The proposed method has resulted in the ability to identify patterns of repetitive motions and statistically significant deviations from those patterns.

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Funding

This study has been partially supported with funds provided by NEC Foundation of America from May 2016 until December 31, 2017.

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Authors and Affiliations

  1. Department of Computer Information Systems and Quantitative Methods, McCoy College of Business, Texas State University, 601 University Dr., San Marcos, TX, 78666, USA

    David C. Wierschem & Francis A. Méndez Mediavilla

  2. Ingram School of Engineering, College of Science and Engineering, Texas State University, 601 University Dr., San Marcos, TX, 78666, USA

    Jesus A. Jimenez

Authors
  1. David C. Wierschem
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  2. Jesus A. Jimenez
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  3. Francis A. Méndez Mediavilla
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Correspondence to Francis A. Méndez Mediavilla.

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Wierschem, D.C., Jimenez, J.A. & Méndez Mediavilla, F.A. A motion capture system for the study of human manufacturing repetitive motions. Int J Adv Manuf Technol 110, 813–827 (2020). https://doi.org/10.1007/s00170-020-05822-9

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  • DOI: https://doi.org/10.1007/s00170-020-05822-9

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