White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Optimising visuo-locomotor interactions in a motion-capture virtual reality rehabilitation system

Gilbert, Mathew Alan (2013) Optimising visuo-locomotor interactions in a motion-capture virtual reality rehabilitation system. PhD thesis, University of York.

[img]
Preview
Text
mathew-gilbert-thesis-to-submit.pdf
Available under License Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 UK: England & Wales.

Download (6Mb)

Abstract

This thesis presents the research-driven design and development of Stromohab: A motion-capture virtual-reality locomotion simulator for the research and rehabilitation of gait disorders following stroke. Software and hardware components are designed, developed and tested to facilitate and motivate patients in rehabilitative interactive avatar-based locomotor tasks. The system is then used to investigate systematically on healthy volunteers the known problem of distance underestimation in virtual environments by testing and analysing all combinations of cross-planar translation of leg movement to avatar actuated movement in a virtual environment. Specific performance deficits in the sagittal plane are confirmed and compared to those from coronal and transverse motion. Potential improvements of adding in isolation monocular cues for perspective, illumination, or size, and binocular cues from 3D stereo anaglyphs, are investigated, leading to a proposed movement model and scaling solution that both explains and resolves the observed deficit empirically in a practical locomotor task. Overall, the findings demonstrate the importance for the design and application of virtual environment interfaces of quantifying the underlying mechanisms in order to ensure accurate and controlled reproduction of a user’s movement. These would be of particular significance in medical rehabilitation for neurological patients, for whom consideration of cognitive load and the potential for improper re-adaptation when returning to real world environments can be critical. It is envisaged that this study will be useful to technologists, clinicians and other professionals who apply the rapidly developing, increasingly accessible and beneficial motion capture and virtual reality technologies to medicine and related applications.

Item Type: Thesis (PhD)
Keywords: stromohab, motion capture, virtual reality, stroke rehabilitation, visuomotor, depth perception
Academic Units: The University of York > Electronics (York)
Identification Number/EthosID: uk.bl.ethos.572416
Depositing User: Mr Mathew Alan Gilbert
Date Deposited: 29 May 2013 13:44
Last Modified: 08 Sep 2016 13:02
URI: http://etheses.whiterose.ac.uk/id/eprint/3986

You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.

Actions (repository staff only: login required)