Spontaneous gaze-based input offers faster and
more intuitive human-computer interaction as people naturally
look at their desired destination. Developing a spontaneous gaze-
based application faces many challenges, one of them is detecting
events of eye movements. Most events detection methods are
based on velocity or dispersion threshold. Unfortunately, these
approaches depend on manual setting of threshold parameters.
Despite previous attempts to review various techniques used in
spontaneous gaze-based interaction, there is no survey paper that
takes into account various machine learning techniques used for
events detection. Here we present a brief overview of spontaneous
gaze-based interactive applications and some machine learning
approaches used for eye movement events detection. First, we
explored major development of spontaneous gaze-based interac-
tion by reviewing some examples of its applications. Next, we
presented some state-of-the-art of threshold-based and machine
learning-based events detection techniques. Finally, we discussed
future research on spontaneous gaze-based interaction. Our brief
survey paper maybe used by entry level researchers interested
in developing uncalibrated interactive applications based on eye
tracking.
