This paper proposes an automatic door system which improves the safety of conventional automatic door systems by complementing
the external safety sensors. Disturbance observer using the model of automatic door system and neural network is designed. The
proposed algorithm compares the observed disturbance with the output of neural network. Experimental results are presented to
illustrate the feasibility of the proposed control strategy. The proposed strategy is expected to improve the safety of an automatic door
system.