Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures

Heinz-Josef Eikerling, Michael Uelschen, Florian Lutterbeck

2016

Abstract

We describe the steps taken to evolve a system which enables gait analysis of persons recovering from illnesses affecting gait. The starting point is a centralized system which is turned into a fully distributed environment. The upgraded system is evaluated in terms of accuracy of the generated data by comparing it with the initial system and a marker-based reference system. Elementary gait metrics are used for these comparisons. Regarding the reference system the deviation (hence error) was found to be below 2%.

References

  1. Brooks, R.R. and Iyengar, S.S. (1998), Multi-sensor fusion: Fundamentals and applications with software, Prentice Hall, Upper Saddle River, NJ.
  2. Gabel, M., Gilad-Bachrach, R., Renshaw, E. and Schuster, A. (2012), “Full body gait analysis with Kinect”, Conference proceedings … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol. 2012, pp. 1964-1967.
  3. Klein, L.A. (2012), Sensor and Data Fusion: A Tool for Information Assessment and Decision Making, 2nd ed., Society of Photo-Optical Instrumentation Engineers (SPIE), Bellingham.
  4. Meyns, P., Bruijn, S.M. and Duysens, J. (2013), “The how and why of arm swing during human walking”, Gait & Posture, Vol. 38 No. 4, pp. 555-562.
  5. Perry, J. and Burnfield, J.M. (2010), Gait analysis: Normal and pathological function, 2. ed., SLACK, Thorofare, NJ.
  6. Qiu, J. W. et al. (2014), “Continuous Human Location and Posture Tracking by Multiple Depth Sensors”, IEEE International Conference on, and Green Computing and Communications (GreenCom),, pp. 155-160.
  7. Saiyi Li, Pathirana, P.N. and Caelli, T. (2014), “Multikinect skeleton fusion for physical rehabilitation monitoring”, Conference proceedings … Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol. 2014, pp. 5060-5063.
  8. Samuels, M.L. (2015), Statistics for the life sciences, global edition, 5th edition, Pearson Education Limited, [Place of publication not identified].
  9. Uelschen, M. and Eikerling, H.-J. (2015), “A Mobile Sensor System for Gait Analysis supporting the Assessment of Rehabilitation Measures”, September 9-12, 2015, Atlanta, GA, USA.
  10. Umeyama, S. (1991), “Least-squares estimation of transformation parameters between two point patterns”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13 No. 4, pp. 376-380.
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Paper Citation


in Harvard Style

Eikerling H., Uelschen M. and Lutterbeck F. (2016). Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 195-202. DOI: 10.5220/0005707801950202


in Bibtex Style

@conference{biodevices16,
author={Heinz-Josef Eikerling and Michael Uelschen and Florian Lutterbeck},
title={Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)},
year={2016},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005707801950202},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)
TI - Scalable Distributed Sensor Network for Contact-less Gait Analysis - A Marker-less, Sensor-based System for Steering Rehabilitation Measures
SN - 978-989-758-170-0
AU - Eikerling H.
AU - Uelschen M.
AU - Lutterbeck F.
PY - 2016
SP - 195
EP - 202
DO - 10.5220/0005707801950202