A fuzzy spiking neural network using optical oscillosensor and pneumatic sensor for human state estimation

Recently, the social role of the nursing health facilities increases more and more as Japan becomes an aged society. The health care should be done according to meals, daily exercise, sleep, and others. In this paper, we focus on the monitoring of sleep using optical oscillosensor and pneumatic s for the health care to elderly people. In these sensors, two thresholds are used for the state estimation of the human behavior on the bed. Therefore, we apply fuzzy membership functions to extract sensitive changes of sensory inputs, and spiking neural network for the state estimation of human behaviors on the bed. Next, we discuss the effectiveness of the proposed method through numerical experiments.