Literature DB >> 23876713

Mobile platform for motion capture of locomotion over long distances.

Lauro Ojeda1, John R Rebula, Peter G Adamczyk, Arthur D Kuo.   

Abstract

Motion capture is usually performed on only a few steps of over-ground locomotion, limited by the finite sensing volume of most capture systems. This makes it difficult to evaluate walking over longer distances, or in a natural environment outside the laboratory. Here we show that motion capture may be performed relative to a mobile platform, such as a wheeled cart that is moved with the walking subject. To determine the person's absolute displacement in space, the cart's own motion must be localized. We present three localization methods and evaluate their performance. The first detects cart motion solely from the relative motion of the subject's feet during walking. The others use sensed motion of the cart's wheels to perform odometry, with and without an additional gyroscope to enhance sensitivity to turning about the vertical axis. We show that such methods are practical to implement, and with present-day sensors can yield accuracy of better than 1% over arbitrary distances.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait analysis; Kinematics; Localization; MOCAP; Odometry; Tracking

Mesh:

Year:  2013        PMID: 23876713      PMCID: PMC3785323          DOI: 10.1016/j.jbiomech.2013.06.002

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  1 in total

1.  Active control of lateral balance in human walking.

Authors:  C E Bauby; A D Kuo
Journal:  J Biomech       Date:  2000-11       Impact factor: 2.712

  1 in total
  5 in total

1.  Reconstruction of body motion during self-reported losses of balance in community-dwelling older adults.

Authors:  Lauro V Ojeda; Peter G Adamczyk; John R Rebula; Linda V Nyquist; Debra M Strasburg; Neil B Alexander
Journal:  Med Eng Phys       Date:  2018-12-20       Impact factor: 2.242

2.  Methodological aspects of EEG and body dynamics measurements during motion.

Authors:  Pedro M R Reis; Felix Hebenstreit; Florian Gabsteiger; Vinzenz von Tscharner; Matthias Lochmann
Journal:  Front Hum Neurosci       Date:  2014-03-24       Impact factor: 3.169

3.  Measurement of foot placement and its variability with inertial sensors.

Authors:  John R Rebula; Lauro V Ojeda; Peter G Adamczyk; Arthur D Kuo
Journal:  Gait Posture       Date:  2013-06-26       Impact factor: 2.840

4.  Estimating Stair Running Performance Using Inertial Sensors.

Authors:  Lauro V Ojeda; Antonia M Zaferiou; Stephen M Cain; Rachel V Vitali; Steven P Davidson; Leia A Stirling; Noel C Perkins
Journal:  Sensors (Basel)       Date:  2017-11-17       Impact factor: 3.576

5.  Effect of IMU Design on IMU-Derived Stride Metrics for Running.

Authors:  Michael V Potter; Lauro V Ojeda; Noel C Perkins; Stephen M Cain
Journal:  Sensors (Basel)       Date:  2019-06-07       Impact factor: 3.576

  5 in total

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