We make a first attempt at distinguishing an information-carrying visual signal by comparing visual characteristics of American Sign Language to everyday human motion, to identify what clues might be available in one but not in the other. The comparison indicated significantly higher fractal complexity in sign language across tested frequency bands (0.01–15 Hz), as compared to everyday motion. ...

statement of the problem: hearing impaired children have a problem in understanding and comprehending with dental treatments. visual language is the sensible answer of how to improve communication with them. purpose: to evaluate the applicability of dental sign language in hearing impaired children in relieving anxiety during stressful dental treatment by improving their means of communication....

Abstract We investigated cross-modal influences between speech and sign in hearing bimodal bilinguals, proficient a spoken language, its consequences on visual attention during message preparation using eye-tracking. focused spatial expressions which languages, unlike have modality-driven preference to mention grounds (big objects) prior figures (smaller objects). compared bilinguals’ Dutch Sig...

In this work we developed a novel and fast traffic sign recognition system, a very important part for advanced driver assistance system and for autonomous driving. Traffic signs play a very vital role in safe driving and avoiding accident. We have used image processing and topic discovery model pLSA to tackle this challenging multiclass classification problem. Our algorithm is consist of two pa...

Abstract
 This study entitled “The Meaning Of Verbal And Non Sign In Cigarette Advertisements". Advertisements usually contains signs both verbal and non-verbal signs. found there are contained in advertisement of These advertisements depicted from the words, pictures utterances that appear. By using theory purposed by Saussure (1983) Roland Barthes (1967), this to discuss analyzes visua...

In sign language research, technically it has been possible to investigate prominence around a unit of sign movements that realizes strong visual impression. Based on the researches of speech prominence, this study proposes techniques to delimit a sequential hand-movement into small units, and investigates the prominence by the comparisons of physical properties on each unit between emphasized ...

In this paper, we propose a new pre-processing method for detecting road traffic sign based on visual saliency map model. Since the road traffic sign boards have dominent color contrast against environment, we consider the color opponents information with center surround difference normalization as an input feature extraction, which is effective to reduce noise influence as well as intensify th...