A Decision Method for Sleeping-States from Body Movement using Neural Netork

Abstract

The body movement while sleeping is said to be closely related with the sleeping-states, and then the sleeping-states may conversely enable to be judged from the body movement. The sleeping-states in human being are generously divided into three states: awakening state, REM sleeping state and NON-REM sleeping state.
In this paper, a method to decide the sleeping-states from the body movement while sleeping is proposed by using an infrared sensor and the Neural Network. The infrared sensor detects non-contactly the frequency and amplitude of body movements while sleeping, and the Neural Network with the feedback structure decides the sleeping-states by calculating the movement data patterns.