ASL Recognition Quality Analysis Based on Sensory Gloves and MLP Neural Network

A simulated human hand model has been built using a virtual reality program which converts printed letters into a human hand figure that represents American Sign Language (ASL), this program was built using forward and inverse kinematics equations of a human hand. The inputs to the simulation program are normal language letters and the outputs are the human hand figures that represent ASL letters. In this research, a hardware system was designed to recognize the human hand manual alphabet of the ASL utilizing a hardware glove sensor design and using artificial neural network for enhancing the recognition process of ASL and for converting the ASL manual alphabet into printed letters. The hardware system uses flex sensors which are positioned on gloves to obtain the finger joint angle data when shown each letter of ASL. In addition, the system uses DAQ 6212 to interface the sensors and the PC. We trained and tested our hardware system for (ASL) manual alphabet words and names recognition and the recognition results have the accuracy of 90.19% and the software system for converting printed English names and words into (ASL) have 100% accuracy

Analysing British sign language through the lens of systemic functional linguistics

Approaches to understanding language via Systemic Functional Linguistics (SFL) have resulted in a compendium of literature focussing on language as a ‘social semiotic.’ One such area of this literature comprises systemic functional grammars: descriptions of various languages and the way in which they create meaning. Despite the application of SFL to numerous languages and the creation of systemic functional grammars, a common thread is that of modality: SFL has been applied to numerous languages in the spoken and written modalities, but not in any detail to languages in the visual-spatial modality.My thesis presents an initial attempt at analysing British Sign Language (BSL) through the systemic functional lens. Calling on various theories and methods found in sign linguistics and SFL, I perform an analysis on a sample of BSL clauses (N = 1,375) from three perspectives: how BSL manages exchanges of communication (the interpersonal metafunction); how BSL encodes aspects of experience and reality (the experiential metafunction); and how BSL may be organised to produce a coherent text with variance in information prominence (the textual metafunction). As a result, I present three sets of system networks based on these three metafunctions, complete with realisation statements and examples.This thesis provides considerable impact. From an academic perspective, this is the first in-depth systemic functional description of a language in the visual-spatial modality, providing insight both into how such languages function, and how analyses of these languages may feed back into those of spoken and written languages. From a social perspective, the BSL system networks can assist language learners of any level as a point of reference in clause construction. Furthermore, intermediate and higher BSL qualifications stipulate knowledge of sign linguistics as a required component, yet these assessments are based on resources that have not been updated in nearly twenty years. As such, the products of this thesis may go towards informing future BSL assessments

Phonetic implementation of phonological categories in Sign Language of the Netherlands

This thesis describes several patterns of phonetic variation in Sign Language of the Netherlands. While lexical variation between different regions has been found in the Netherlands, little is known about phonetic or phonological variation. Phonetic variation in the realization of some of the traditional handshape and orientation features is analyzed in detail. Furthermore, data were elicited from different registers: short-distance signing (__whispering__) was compared to long-distance signing (__shouting__). Results show that differences between registers lead not only to variation in movement size, but also to changes in the traditional phonological categories. In enlarged realizations, as in shouting, handshape and orientation changes may be enhanced by a location change; in reduced forms, as in whispering, location changes may be realized as changes in orientation or handshape. While the distinction between the three parameters handshape, orientation and location remains valid, it is argued that their definition needs to be stated in global perceptual targets rather than in detailed articulatory terms in a comprehensive analysis of the various differences between registers. The data thus provide evidence for a strict separation of perceptual and articulatory characterizations of signs. The lexical specification contains only perceptual targets. The variation is thus not generated by a phonological process, but is a matter of phonetic implementation.UBL - phd migration 201

Development of Hand Posture Classification and Food Constituent Estimation as Welfare Technology Using Convolutional Neural Network

2019岡山県立大学大学