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Transactions on Engineering Technologies pp 503–517Cite as

Wireless Body Area Network for Cycling Posture Monitoring

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Abstract

This work presents the design and implementation of a wireless body area network based on Bluetooth Low Energy (BLE) which enables the integration of multiple sensor nodes into a smartphone-based system in order to monitor the posture of cyclists. The wireless posture monitoring system presented in this chapter obtains the orientation in space of each body segment in which the sensor nodes are placed and calculates the trunk angle, the knee angle and the angle of inclination of the road. This system collects raw sensor data from accelerometers, magnetometers and gyroscopes and sends the data via BLE to an Android smartphone, which plays the role of central station and performs the data processing concerning the posture calculation. This chapter describes the development of the hardware and software of the sensor nodes, which are based on the CC2540 BLE system-on-chip, as well as the development of the Android application. Experimental results concerning the measurement of the posture of a cyclist are provided in order to validate the implementation.

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Acknowledgment

This work has been supported by FCT (Fundação para a Ciência e Tecnologia) in the scope of the project: UID/EEA/04436/2013.

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Authors and Affiliations

  1. CMEMS-UMinho R&D Center, University of Minho, 4800-058, Guimarães, Portugal

    António José de Freitas Maio & José Augusto Afonso

Authors
  1. António José de Freitas Maio
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  2. José Augusto Afonso
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Corresponding author

Correspondence to José Augusto Afonso .

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Editors and Affiliations

  1. Intl Association of Engineers, Hong Kong, Hong Kong

    Sio-iong Ao

  2. Department of Multimedia Engineering, Mokpo National University, Chonnam, Korea (Republic of)

    Gi-Chul Yang

  3. Cranfield University, Cranfield, Bedfordshire, United Kingdom

    Len Gelman

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© 2016 Springer Science+Business Media Singapore

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de Freitas Maio, A.J., Afonso, J.A. (2016). Wireless Body Area Network for Cycling Posture Monitoring. In: Ao, Si., Yang, GC., Gelman, L. (eds) Transactions on Engineering Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-10-1088-0_37

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  • DOI: https://doi.org/10.1007/978-981-10-1088-0_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1087-3

  • Online ISBN: 978-981-10-1088-0

  • eBook Packages: EngineeringEngineering (R0)

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