眼球画像を用いた視線追跡と物体認識

―日常生活のための装着型デバイス―

抄録

This paper introduces a method to identify the focused object in eye images captured from a single camera in order to enable intuitive eye-based interactions using wearable devices. The proposed method relies on a 3D eye model reconstruction to evaluate the gaze direction from the eye images. The gaze direction is then used in combination with deep learning algorithms to classify the focused object reflected on the cornea. Experimental results using a wearable prototype demonstrate the potential of the proposed method.