An improved gaze tracking technique based on eye model

Aiming at several common drawbacks of existing gaze tracking algorithm which is based on image processing technology: low accuracy, low suitability and high requirement of device, this paper presents an improved gaze tracking method based on the human eye model. The vision scatter model is established by studying the relationship among the center of iris, inner corner of eye and the gaze direction. The model is used for gaze rough estimation. An improved geometric eye model with compensation coefficient is used for gaze precise estimation, and the coefficient depends on the result of rough estimation. The result of experiment shows that the proposed approach has a low average error which is reached 2 ° and good robustness. This approach provides an effective solution for gaze tracking of human-computer interaction under the low pixel condition.