Skip to main content

Abstract

Teenagers are mainly sedentary with the use of technological devices. However, technological devices may be part of recreational activities to challenge people to achieve better results. This paper described the acquisition of accelerometer data from mobile devices and BioPlux devices, measuring the correct jump flight time with the help of a pressure sensor in a jump platform. Also, this paper tested different methods for adjusting the calculation of the jump flight time, including the least-squares method, the subtraction of average error, and the multilayer perceptron. Currently, a mobile application is available with the Least Squares methods, but it will use the best method soon. Also, the method presented can be also incorporated in a game to stimulate the physical activity practice.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lewis, B.A., Napolitano, M.A., Buman, M.P., Williams, D.M., Nigg, C.R.: Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination. J. Behav. Med. 40(1), 112–126 (2016). https://doi.org/10.1007/s10865-016-9797-8

    Article  Google Scholar 

  2. Petrigna, L., et al.: A review of countermovement and squat jump testing methods in the context of public health examination in adolescence: reliability and feasibility of current testing procedures. Front. Physiol. 10, 1384 (2019). https://doi.org/10.3389/fphys.2019.01384

    Article  Google Scholar 

  3. Pires, I.M., Garcia, N.M.: accelerometer data collected during jumping activity. Mendeley V1. https://doi.org/10.17632/cvfy8gtfn9.1

  4. Sanders, J.P., et al.: Devices for self-monitoring sedentary time or physical activity: a scoping review. J. Med. Internet Res. 18, e90 (2016). https://doi.org/10.2196/jmir.5373

    Article  Google Scholar 

  5. Zuckerman, O., Gal-Oz, A.: Deconstructing gamification: evaluating the effectiveness of continuous measurement, virtual rewards, and social comparison for promoting physical activity. Pers. Ubiquit. Comput. 18(7), 1705–1719 (2014). https://doi.org/10.1007/s00779-014-0783-2

    Article  Google Scholar 

  6. New WHO-led study says majority of adolescents worldwide are not sufficiently physically active. https://www.who.int/news/item/22-11-2019-new-who-led-study-says-majority-of-adolescents-worldwide-are-not-sufficiently-physically-active-putting-their-current-and-future-health-at-risk. Accessed 31 May 2021

  7. JumpTimeCalc. In: App Store. https://apps.apple.com/pt/app/jumptimecalc/id654811255. Accessed 31 May 2021

Download references

Acknowledgments

This work is funded by FCT/MEC through national funds and, when applicable, co-funded by the FEDER-PT2020 partnership agreement under the project UIDB/50008/2020. This work is also funded by National Funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project UIDB/00742/2020. This article is based upon work from COST Action IC1303-AAPELE—Architectures, Algorithms, and Protocols for Enhanced Living Environments and COST Action CA16226–SHELD-ON—Indoor living space improvement: Smart Habitat for the Elderly, supported by COST (European Cooperation in Science and Technology). COST is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. It boosts their research, career, and innovation. More information in www.cost.eu.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivan Miguel Pires .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pires, I.M., Garcia, N.M., Teixeira, M.C.C. (2021). Mobile Device Approach for the Measurement of Jump Flight Time. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85739-4_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85738-7

  • Online ISBN: 978-3-030-85739-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics