Model of human palm controlled by glove with micromachined accelerometers

The aim of the research presented in this paper was to test the possibility of inventing a fully autonomous device to detect the position of the fingers with the use of micromachined accelerometers. An implemented algorithm is based on the measurement of gravity acceleration. Designed microprocessor system analyses that data and controls the model of a human palm made in a 1:1 scale. The model has a motionless wrist, two fingers and an opposing thumb. Every finger has three joints. An extra joint is made for the thumb. This paper is based on the author's master thesis which is entitled “Data glove controlled by a microprocessor system”.