Design and Implementation of a Wireless Wearable Band for Gait Analysis

  • Anh DinhEmail author
  • Mostafa Bayati
  • Mashhood Bhatti
  • Juan Yepez
  • Jiang Zhexin
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 63)


This paper presents the design and implementation of a wearable band to be worn on the shoe to collect data for gait analysis. The system includes a microcontroller for data handling, a sensor to detect gait signals, a Bluetooth module to wirelessly transmit data, and a portable device to collect, display, and store data for analysis. The sensor is a 6-degree of freedom Inertia Measurement Unit to measure spin angular velocity and acceleration. The sensing system was successfully tested as design specifications. The system provides needed data for many applications using gait analysis such as sport training, rehabilitation, fall detection, or just simply walking or running monitoring. Extra sensors can be placed at other positions of the leg to have a more detailed gait analysis.


Motion and gait analysis Wearable device Accelerometer Gyroscope Wireless sensor 


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  1. 1.
    The Motley Fool (2016) How wearable technology will change the sports. At
  2. 2.
    Oarde Denica E, Libatique Nathaniel C (2014) Digital motion analysis system for rehabilitation using wearable sensors. IEEE conf HNICEM 2014:1–7Google Scholar
  3. 3.
    Davies MAM (2014) Wearable tech can extend clinical analytics Endeavour partners. At
  4. 4.
    Wearable Technologies (2015) Wearables in healthcare. At
  5. 5.
    Wang B, Rajput KS, Tam WK, Tung AKH, Yang Z (2015) FreeWalker: a smart insole for longitudinal gait analysis. In: Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2015. pp 3723–3726Google Scholar
  6. 6.
    An Q, Ishikawa Y, Nakagawa J, Kuroda A, Oka H, Yamakawa H, Yamashita A, Asama H (2012) Evaluation of wearable gyroscope and accelerometer sensor (PocketIMU2) during walking and sit-to-stand motions. In: Proceedings—IEEE International Workshop Robot and Human Interactive Communication. pp 731–736Google Scholar
  7. 7.
    Wang J, Lin C (2012) Walking pattern classification and walking distance estimation algorithms using gait phase information. IEEE Trans Biomed 59(10):2884–2892Google Scholar
  8. 8.
    Alonge F, Cucco E, D’lppolito, Pulizzotto (2014) The use of accelerometers and gyroscopes to estimate hip and knee angles on gait analysis. Sensor 14(5):8430–8446Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Anh Dinh
    • 1
    Email author
  • Mostafa Bayati
    • 2
  • Mashhood Bhatti
    • 1
  • Juan Yepez
    • 1
  • Jiang Zhexin
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of SaskatchewanSaskatoonCanada
  2. 2.Department of Mechanical EngineeringUniversity of SaskatchewanSaskatoonCanada

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