Analysis of GloveMAP feature extraction using the polynomial regression method

Abstract

Glove based device has outstandingly archive successfully in nowadays especially in industries, virtual reality, and medical. GloveMAP are recent DataGlove prototype aimed at obtaining signal information of finger movements. The cubic polynomial regression method is used to convert the original GloveMAP voltage output into angle since the information more user approachable. In this paper, we propose a continuation of the polynomial regression method to extract features from angle information. The preliminary results of experiment exhibit the result of using quadratic polynomial regression method for extracting GloveMAP features.