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Record W2072829658 · doi:10.1167/5.8.320

Effect of visual sway on postural balance in a full immersive environment

2010· article· en· W2072829658 on OpenAlexaff
J. Faubert, Rémy Allard, Jean-Marie Hanssens

Bibliographic record

VenueJournal of Vision · 2010
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBalance (ability)Optical head-mounted displayPopulationPresbyopiaComputer scienceComputer visionPsychologyPhysical medicine and rehabilitationAudiologyMathematicsArtificial intelligenceOptometryMedicine

Abstract

fetched live from OpenAlex

The role of visual input on postural balance remains relatively unknown. As the population ages, it becomes important to determine possible effects of visual distortion induced from ophthalmic lenses used to correct presbyopia on the capacity to interact with the environment. One of the consequences of progressive ophthalmic lenses used for presbyopia correction is induced sway. i.e. the world appears to move up and down in peripheral vision under certain viewing conditions. A full immersive environment is ideal to answer such questions as the virtual world is not limited to screen size and we can therefore measure the full impact of sway on the ability to keep our balance. We used a CAVE composed of four projection surfaces (3 walls and the floor) equipped with a motion tracking system (Flock of Birds) to determine the effect of a variety of speeds and amplitudes of sway movement on posture. Sensors were positioned at the head and lower back and recordings were made while the subjects were observing visual stimuli. Three amplitudes (1, 2 & 4 deg max slope) and 10 speeds (from 0.03 to 2 Hz) were evaluated. The virtual image was a checkerboard pattern composed of 0.25x0.25m squares on a 10x10m floor size. The subjects were asked to remove their shoes and stand looking straight ahead with both feet together and side-by-side. Five young healthy observers participated in the study. The results show a clear effect of visual sway on posture particularly at lower temporal frequencies. Amplitude effects were only evident at the lowest temporal frequency. The amplitude of displacement responses show a low-pass tuning function as a function of speed. Phase delays are also clearly evident for the 5 lower temporal frequencies but appear to break down with higher speeds. In conclusion, we show that visual input is extremely important for maintaining postural balance, particularly under low speed conditions. Further work, will evaluate the effect of sway on older observers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.363
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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