Evaluation of Accumulating Pattern of Human States Using HMM

Abstract

The impact of extensively usage visual display terminal (VDT) on automatic nervous system are observed and analyzed based on physiological information, i.e., electroencephalogram (EEG), heart rate variability (HRV) and thermograph. Two types of experiment which have different intermittent schedule were conducted using the Kraepelin psycho diagnostic test. The purpose is to determine the given task towards effect of human mental states. The principal component analysis (PCA) and hidden Markov model (HMM) are then employed to differentiate the accumulation of human states condition among participants in two types of experiments. This experiment is conducted based on the assumption that the work schedule might have effect to the mental health problem.