Inertial Measurement Units in Gait Analysis Applications - Questions, Suggestions and Answers

Harald Loose, Katja Orlowski, Robert Amann

Abstract

The paper deals with inertial measurement units (IMU) and their application in gait analysis in the wide range from movement monitoring through rehabilitation feedback to sports improvement. An IMU sensor incorporates three microelectromechanical sensors - triple-axis gyroscope, accelerometer, magnetometer – and, optionally, a barometer. The outputs of all sensors are processed by an on-board microprocessor and sent over a serial interface using wired or wireless communication channels. The on-board processing may include sensor conditioning, compensations, strap-down integration as well as determination of orientation. The sensor output is sent to applications working on standard PC, tablets or smart phones using different sampling rates. The output data of one IMU sensor allow motion analysis of the sensor unit itself as well as the motion of the limb where the sensor is mounted to. Using a combination of two or more sensors the movement of limbs/legs can be compared; their relative motion can be investigated; angles can be calculated. In general, in motion and gait analysis, we like to get primary information about the position of all interesting points, the orientation of the limbs and the joint angles at each moment of time as well as derived averaged and summarized characteristics about the motion and the gait. Based on our own investigations the paper discusses how much information is really necessary to determine gait events and gait features for different purposes.

References

  1. Perry, J. (2010). Gait Analysis - Normal and Pathological Function. Slack Inc.
  2. Murray, M. (1964). Walking patterns of normal men. J Bone Joint Surg Am, 46A:335 - 360.
  3. Roetenberg, D., Luinge, H., and Slycke, P. (04/2009). Xsens mvn: Full 6 dof human motion tracking using miniature inertial sensors. XSENS TECHNOLOGY, WHite Paper.
  4. Madgwick, S., Harrison, A. J. L., and Vaidyanathan, R. (2011). Estimation of imu and marg orientation using a gradient descent algorithm. In Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on, pages 1-7.
  5. Orlowski, K. and Loose, H. (2014). Simple Algorithms for the Determination of the Walking Distance based on the Acceleration Sensor. Proceedings of BIOSIGNALS 2014, Int. Conference on Bio-Inspired Systems and Signal Processing, Angers, France, 03-06 March 2014, pp. 264-269.
  6. Greene, B. (2010). An adaptive gyroscope-based algorithm for temporal gait analysis. Med Biol Eng Comput, 48:1251-1260.
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Paper Citation


in Harvard Style

Loose H., Orlowski K. and Amann R. (2015). Inertial Measurement Units in Gait Analysis Applications - Questions, Suggestions and Answers . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 300-305. DOI: 10.5220/0005278703000305


in Bibtex Style

@conference{biosignals15,
author={Harald Loose and Katja Orlowski and Robert Amann},
title={Inertial Measurement Units in Gait Analysis Applications - Questions, Suggestions and Answers},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={300-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005278703000305},
isbn={978-989-758-069-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Inertial Measurement Units in Gait Analysis Applications - Questions, Suggestions and Answers
SN - 978-989-758-069-7
AU - Loose H.
AU - Orlowski K.
AU - Amann R.
PY - 2015
SP - 300
EP - 305
DO - 10.5220/0005278703000305