Abstract
With the advancement of computer technology, convenience in data entering has become important in our daily operation of computers. Developed in the early 1970s, data gloves are based upon simple and intuitive operational modes for operation. In the past years, data gloves are mostly developed from direct contact sensing methods which seem to be in short life and difficult in manufacture. In this thesis, an non-contact magnetic device based on non-contact principle has been employed for the design and analysis of data glove. The objective is to enhance the life cycle and sensing accuracy of the data glove. In the investigation, a one-finger model has been established for the simulation and analysis in order to assess the optimal location for setting the magnets and the magnetic sensors. And, correlations between the measured signals of magnetic sensors and degree of bending in the knuckles have been studied. Finally, signal sets have been associated with the movement of a whole hand for completing the basic design of signal processing circuits. Furthermore, experimental verifications have been conducted with the help of database established on a single-chip micro-process AT89C4051. Practical assessments of operations in data glove have been completed on recognition of a set of sign language of numbers.