Appearance-based Gaze Estimation

Human gaze can serve as an important cue for various application scenarios including context-aware computing and attentive user interfaces. We have been developing a machine learning-based gaze estimation method using large-scale training datasets of face images. Unlike conventional methods that require dedicated hardware, it allows us to use ordinary cameras as gaze estimation device and can be applied to a wider range of applications.