eTheses Repository

The effect of multimodal data sources in parallel on the accuracy and reliability of optical motion capture of human subjects

Roach, Nicholas (2011)
Ph.D. thesis, University of Birmingham.

Loading
PDF (6Mb)

Abstract

Optical motion capture is a powerful tool for human motion analysis. However, an intrinsic limitation of this method is its dependence upon line of sight, which when occluded, prevents measurement of position, resulting in data loss and failure of trajectory tracking.

The thesis aims to investigate whether sources of inertial measurement can be used in tandem with passive optical motion capture data, to obtain improvement beyond conventional measures in tracking and occlusion recovery of human motion data.

A novel method is developed, where a conventional optical motion capture system is augmented with miniature inertial sensors. These two measurement modalities are integrated via a forward kinematic and sensor model, which facilitates the reconstruction and tracking of occluded marker trajectories.

The method is validated using “gold standard” trajectory data obtained experimentally from a human subject. By synthetically degrading this data using a model of line of sight, the reconstructor is tested over a range of conditions conducive to occlusion.

Following testing of trajectory data with up to 30% loss to occlusion, the method is shown to be capable of tracking marker position with 100% reliability. Additionally, trajectory data is recovered with useful accuracy (average ~8mm), demonstrating an improvement by a factor of ~10 over conventional interpolation methods. A restriction of the method is its reliance upon future trajectory data for reconstruction of occlusion, which prohibits real-time applications.

Type of Work:Ph.D. thesis.
School/Faculty:Colleges (2008 onwards) > College of Engineering & Physical Sciences
Department:School of Electronic, Electrical and Computer Engineering
Subjects:QC Physics
QP Physiology
TK Electrical engineering. Electronics Nuclear engineering
Institution:University of Birmingham
ID Code:2978
This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder.
Export Reference As : ASCII + BibTeX + Dublin Core + EndNote + HTML + METS + MODS + OpenURL Object + Reference Manager + Refer + RefWorks
Share this item :
QR Code for this page

Repository Staff Only: item control page