Literature DB >> 3430222

Limits of visual communication: the effect of signal-to-noise ratio on the intelligibility of American Sign Language.

M Pavel1, G Sperling, T Riedl, A Vanderbeek.   

Abstract

To determine the limits of human observers' ability to identify visually presented American Sign Language (ASL), the contrast s and the amount of additive noise n in dynamic ASL images were varied independently. Contrast was tested over a 4:1 range; the rms signal-to-noise ratios (s/n) investigated were s/n = 1/4, 1/2, 1, and infinity (which is used to designate the original, uncontaminated images). Fourteen deaf subjects were tested with an intelligibility test composed of 85 isolated ASL signs, each 2-3 sec in length. For these ASL signs (64 x 96 pixels, 30 frames/sec), subjects' performance asymptotes between s/n = 0.5 and 1.0; further increases in s/n do not improve intelligibility. Intelligibility was found to depend only on s/n and not on contrast. A formulation in terms of logistic functions was proposed to derive intelligibility of ASL signs from s/n, sign familiarity, and sign difficulty. Familiarity (ignorance) is represented by additive signal-correlated noise; it represents the likelihood of a subject's knowing a particular ASL sign, and it adds to s/n. Difficulty is represented by a multiplicative difficulty coefficient; it represents the perceptual vulnerability of an ASL sign to noise and it adds to log(s/n).

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Year:  1987        PMID: 3430222     DOI: 10.1364/josaa.4.002355

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN: 0740-3232            Impact factor:   2.129


  4 in total

1.  Working Memory for Signs with Poor Visual Resolution: fMRI Evidence of Reorganization of Auditory Cortex in Deaf Signers.

Authors:  Josefine Andin; Emil Holmer; Krister Schönström; Mary Rudner
Journal:  Cereb Cortex       Date:  2021-06-10       Impact factor: 5.357

2.  Internet video telephony allows speech reading by deaf individuals and improves speech perception by cochlear implant users.

Authors:  Georgios Mantokoudis; Claudia Dähler; Patrick Dubach; Martin Kompis; Marco D Caversaccio; Pascal Senn
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

3.  Load and distinctness interact in working memory for lexical manual gestures.

Authors:  Mary Rudner; Elena Toscano; Emil Holmer
Journal:  Front Psychol       Date:  2015-08-13

Review 4.  Working Memory for Linguistic and Non-linguistic Manual Gestures: Evidence, Theory, and Application.

Authors:  Mary Rudner
Journal:  Front Psychol       Date:  2018-05-15
  4 in total

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