Step Count and Classification Using Sensor Information Fusion

  • Ricardo AnacletoEmail author
  • Lino Figueiredo
  • Ana Almeida
  • Paulo Novais
  • António Meireles
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 376)


In order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person’s body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy.


Pedestrian inertial navigation system Step count Information fusion Dynamic time warping 


  1. 1.
    R. Anacleto, L. Figueiredo, A. Almeida, P. Novais, Localization system for pedestrians based on sensor and information fusion, in 17th International Conference on Information Fusion (FUSION), pp. 1–8, July 2014Google Scholar
  2. 2.
    R. Anacleto, L. Figueiredo, A. Almeida, P. Novais, Person localization using sensor information fusion, in Ambient Intelligence—Software and Applications, ed. by C. Ramos, P. Novais, C.E. Nihan, J.M. Corchado Rodrguez. Advances in Intelligent Systems and Computing, vol. 291. (Springer International Publishing, 2014), pp. 53–61Google Scholar
  3. 3.
    R. Anacleto, N. Luz, A. Almeida, L. Figueiredo, P. Novais, Shopping center tracking and recommendation systems, in Soft Computing Models in Industrial and Environmental Applications, in 6th International Conference SOCO 2011, in Advances in Intelligent and Soft Computing, vol. 87. (Springer, Berlin Heidelberg, 2011), pp. 299–308Google Scholar
  4. 4.
    Analog Devices, Adxl345 digital accelerometer (2014)Google Scholar
  5. 5.
    J. Elwell, Inertial navigation for the urban warrior. Proc. SPIE 3709, 196–204 (1999)CrossRefGoogle Scholar
  6. 6.
    J. Hightower, G. Borriello, Location systems for ubiquitous computing. IEEE Comput. 34(8), 57–66 (2001)CrossRefGoogle Scholar
  7. 7.
    Honeywell, 3-axis digital compass ic hmc5883l (2014)Google Scholar
  8. 8.
    J. Lucas, N. Luz, M. Moreno, R. Anacleto, A. Almeida, C. Martins, A hybrid recommendation approach for a tourism system. Expert Syst. Appl. 40(9), 3532–3550 (2013). JulyCrossRefGoogle Scholar
  9. 9.
    J. Ramos, R. Anacleto, Â. Costa, P. Novais, L. Figueiredo, A. Almeida, Orientation system for people with cognitive disabilities, Ambient Intelligence—Software and Applications, in Advances in Intelligent and Soft Computing, vol. 153. (Springer, Berlin Heidelberg, 2012), pp. 43–50Google Scholar
  10. 10.
    D. Sankoff, J. Kruskal, Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison (Center for the Study of Language and Inf, Stanford, 1999). DecemberzbMATHGoogle Scholar
  11. 11.
    J. Saunders, V. Inman, H. Eberhart, The major determinants in normal and pathological gait. J. Bone Joint Surg. 35(3), 543–558 (1953)Google Scholar
  12. 12.
    STMicroelectronics, L3g4200d: three axis digital output gyroscope (2014)Google Scholar
  13. 13.
    Tekscan, Flexiforce sensors for force measurement (2014)Google Scholar
  14. 14.
    C. Vaughan, B. Davis, J.C. O’Connor, Dynamics of Human Gait (Human Kinetics Publishers Champaign, Illinois, 1992)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ricardo Anacleto
    • 1
    Email author
  • Lino Figueiredo
    • 1
  • Ana Almeida
    • 1
  • Paulo Novais
    • 2
  • António Meireles
    • 1
  1. 1.GECAD—Knowledge Engineering and Decision Support Research CenterSchool of Engineering—Polytechnic of PortoPortoPortugal
  2. 2.CCTC—Computer Science and Technology CenterUniversity of MinhoBragaPortugal

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