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Perception & Psychophysics
Article . 1988 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Masking the motions of human gait

Authors: J E, Cutting; C, Moore; R, Morrison;

Masking the motions of human gait

Abstract

In three experiments we tried to mask the motions of human gait. We represented human walkers as a set of 11 computer-generated elements on a display monitor, moving as a nested hierarchy of motions that mimicked the motions of the head and major joints. The walker was seen in sagittal view, facing either right or left and walking as if on a treadmill. On the walker was superimposed a simultaneous mask composed of elements with the same brightness, shape, and subtense as those of the walker. We varied the mask parameters—particularly the number of elements and style of motion—to discern what masks best camouflaged the walker’s direction. In general, many kinds of masks impeded viewer performance at durations of 200 msec, but only relatively complex masks continued to impede performance to 400 msec and beyond. Four results stand out concerning the concurrent perceptual organization of target and mask. First, if the mask is easily divided into groups by its motion parameters, viewer performance with respect to the stimulus is generally impeded by increasing the number of groups in the mask. Second, the most successful masks are those composed of scrambled parts of walkers. Third, given a sufficient number of scrambled-walker elements, viewer performance does not improve above chance even at 800 msec. And fourth, this lack of improvement appears to be confined to scrambled-walker masks that share the particular gait parameters of the walker target.

Related Organizations
Keywords

Adult, Discrimination Learning, Pattern Recognition, Visual, Motion Perception, Humans, Attention, Gait, Perceptual Masking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
144
Top 10%
Top 1%
Average
bronze