Abstract: In order to realize eye movement interaction with high frame rate, a deep-learning based single-camera dual-light source identification method is proposed. This method uses correlation between the reflected spot and the gaze landing point to obtain the mapping law from the eye image to the gaze. Human-computer eye movement interaction device is constructed, which results in a high-quality dataset, obtains the gaze estimating model with high precision and speed by training, solves the problems of complex mathematical model and large amount of calculation of gaze estimation. It realizes the function of real-time recognition and interaction of users蒺 gaze, supports the development and application of psychological experimental research and virtual reality application technology.

Key words: gaze estimation, convolutional neural network, human-computer interaction