In this paper, we propose a method to generate a talking head animation considering the direction of the face. The proposed method parametrizes a facial image using the active appearance model (AAM) and models the parameters of the AAM using a feedforward deep neural network. Since the AAM is a two-dimensional face model, conventional methods that use the AAM assumes only the frontal face. Thus, when combining the generated face and other parts such as a head and a body, the direction of the face and the head was often inconsistent. The proposed method models the shape parameters of the AAM using the principal component analysis (PCA) so that the direction and movement of individual facial parts are modeled separately; thus we substitute the face direction of the generated animation with that of the head part so that the direction of the face and the head coincides. We conducted an experiment to demonstrate that the proposed method can generate face animation with proper face direction.