Rushton, Simon
(2019).
Lateral visual occlusion does not change walking trajectories 2014-2017.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-853221
This is the latest version of this item.
A long-standing question is how the brain transforms the light patterns impinging onto the retina into a meaningful world of objects and animates with which the observer can interact. While enormous progress has been made in the understanding of brain functions during the last few decades, the fundamental principles underlying the processing and extraction of visual information remain elusive. This project builds on the observation that perception has been traditionally studied in a passive manner, paying relatively little attention to the observer's motor activity during the acquisition of visual information. Yet, like other species, humans are not passively exposed to the incoming flow of sensory data. Instead, they actively seek useful information by coordinating sensory processing with motor activity. Our motivating hypothesis is that self-movement is a critical component of visual perception. Considered as a problem of simple visual geometry this hypothesis might appear counter-intuitive. Considered as an image-processing problem it might appear counter-intuitive. Considered against decades of work concerned with how the brain "compensates" for self-movement it might also appear counter-intuitive. However, this hypothesis is fully plausible from a biological perspective, because more information about the scene is available when the observer moves. This was pointed out many years ago by ecological psychologists and has more recently been recognised in computer vision - where it has caused a paradigm change. We argue that the visual, motor, and proprioceptive information generated by self-movement is fundamental to visual processing.
The project brings together three laboratories from The Netherlands (Dr. Brenner at VU University in Amsterdam), the US (Dr. Rucci at Boston University), and the UK (Dr Rushton at Cardiff University), which have developed critical expertise on the analyses of different types of motor activities in humans. We will systematically investigate the mechanisms by which human observers use motor, proprioceptive and global optic flow signals to accomplish visual tasks. Elucidating the perceptual impact of motor activity is critical to advancing our knowledge of how the visual system functions. Such knowledge can also potentially guide the design of objects and environments, inform the building of machines capable of replicating human visual functions, and it may provide a scientific basis for the development of treatments of visual impairments commonly associated with abnormal motor activity in pathological conditions.
Data description (abstract)
Here, we isolated and examined the effect of lateralised vision loss on walking behaviour in real and virtual environments. Healthy young participants walked to a target placed within a real room, a virtual corridor, or on a virtual ground plane. In the ground plane condition, the scene was either empty or contained three obstacles. We reduced vision on one side by occluding one eye (Experiment 1 and 2) or removal of one hemifield, defined relative to either the head or trunk (Experiment 2), through use of eye-patching (Experiment 1) and a Virtual Reality system (Experiment 2). Visual field restrictions did not induce significant deviations in walking paths in any of the occlusion conditions or any of the environments. The results provide further insight into the visual information that guides walking in humans and suggest that lateralised vision loss per se is not the primary cause of walking difficulties.
Difficulties with walking are often reported following brain damage that causes a lateralised loss of awareness on one side. Whether lateralised loss of awareness has a direct causal impact on walking is unknown. A review of the literature on visually guided walking suggests several reasons why a lateralised loss of visual awareness might be expected to lead to difficulties walking.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Rushton Simon |
Cardiff University |
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Contributors: |
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Sponsors: |
Economic and Social Research Council
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Grant reference: |
ES/M00001X/1
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Topic classification: |
Psychology
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Keywords: |
walking, hemianopia, visual neglect, optic flow, virtual reality
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Project title: |
Moving to see: the benefits of self---motion for visual perception
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Grant holders: |
Simon Rushton
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Project dates: |
From | To |
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1 August 2014 | 31 October 2017 |
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Date published: |
31 Jan 2019 12:26
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Last modified: |
31 Jan 2019 12:26
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Collection period: |
Date from: | Date to: |
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1 August 2014 | 31 October 2017 |
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Geographical area: |
Cardiff |
Country: |
United Kingdom |
Data collection method: |
Recordings of head and body position during walking trials as part of the above experiment. Data collected using a Phasespace motion capture system, and transcribed into the CSV files. Text documents give participant stereoacuity, as measured using the Titmus fly test, as well as interpupillary distance. |
Observation unit: |
Time unit |
Kind of data: |
Numeric |
Type of data: |
Experimental data
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Resource language: |
English |
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Data sourcing, processing and preparation: |
Participant names are not included; only initials to protect identity.
The archived data, MATLAB scripts and R script are described in Dunn, M.J. & Rushton, S.K. (2018). Lateral visual occlusion does not change walking trajectories, Journal of Vision.
Data should be first processed with the MATLAB script 'analyse_walking_path.m', and then the results of this script should be processed by the R script.
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Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Rushton Simon |
Cardiff University |
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Contact: |
Name | Email | Affiliation | ORCID (as URL) |
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Rushton, Simon | RushtonSK@cardiff.ac.uk | Cardiff University | Unspecified |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Archive
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Last modified: |
31 Jan 2019 12:26
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