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Backpack Posture Classification for Elementary and Middle School Children Using Deep Learning

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Published:11 July 2022Publication History

ABSTRACT

School children frequently carry packs that don’t fit properly and are overweight which causes them to use poor posture as a form of compensation, leading to significant muscle tension, pain, and abnormal spine growth. An overweight backpack or improper weight distribution is detrimental for children’s health. This study focuses on combining force sensitive resistors, accelerometers, and load cells to detect when a child’s pack is over the recommended weight and give users feedback on the proper fitment to correct the use of their backpack and avoid musculoskeletal injuries. Also, using supervised machine learning, our model showed high accuracy of 90.71% in posture classification and has the ability to advise users on how to achieve better posture.

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References

  1. [1] Mayank M, Singh U, Quddus N. Effect of backpack loading on cervical and shoulder posture in Indian school children. Indian J Physiother Occup Ther. 2006; 1: 3–12.Google ScholarGoogle Scholar
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  3. [3] Hong Y., Cheung C.-K. Gait and posture responses to backpack load during level walking in children. Gait Posture. 2003;17(1):28–33. doi: 10.1016/s0966-6362(02)00050-4.Google ScholarGoogle Scholar
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  • Published in

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    PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments
    June 2022
    704 pages
    ISBN:9781450396318
    DOI:10.1145/3529190

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 11 July 2022

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