Gait Analysis for Physical Rehabilitation via Body-Worn Sensors and Multi-information Fusion

  • Sen QiuEmail author
  • Zhelong Wang
  • Hongyu Zhao
  • Long Liu
  • Jiaxin Wang
  • Jie Li
Conference paper
Part of the Internet of Things book series (ITTCC)


How to effectively use wearable sensors for medical rehabilitation is an interdisciplinary research hotspot of control subjects and biomedical engineering. This paper intends to integrate accelerometer, gyroscope and magnetometer to build a low-cost, intelligent and lightweight wearable human gait analysis platform. On account of complexity and polytopes of walking motion characteristics, the key is to solve the existing robustness and adaptability problems of current gait analysis algorithm. This project is starting from the sensor physical properties and human physiology structure, aiming to establish lower limb kinematics model constraint, and solving the applicability problem of the traditional zero velocity update algorithm. Digital filter and error correction of gait parameters could be done with multi-level data fusion algorithm. Preliminary clinical gait experiments results indicated the proposed method has great potential as an auxiliary for medical rehabilitation. The ultimate target is to realize auxiliary diagnosis and exercise rehabilitation plan formulation for patients with abnormal gait.


Human gait analysis Biological information detection Multi-information fusion Exercise rehabilitation Micro-electro-mechanical sensor 



This work was supported by the National Natural Science Foundation of China under Grant 61473058, and in part by the Fundamental Research Funds for the Central Universities under Grant DUT18RC(4)034. This project was supported by China Postdoctoral Science Foundation under Grant 2017M621132 and 2017M621131. The authors would like to express their thanks to these funding bodies.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sen Qiu
    • 1
    Email author
  • Zhelong Wang
    • 1
  • Hongyu Zhao
    • 1
  • Long Liu
    • 1
  • Jiaxin Wang
    • 1
  • Jie Li
    • 1
  1. 1.School of Control Science and EngineeringDalian University of TechnologyDalianChina

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