Gaze tracking With OpenCV using python

Relatively recent advancements in computer science and related technologies have resulted in greater automation and increased efficiency in analyzing large datasets when compared to manual processes. The field of psychology has greatly benefited from this in the form of advanced computational methods and tools. However, most of these software and tools are expensive and not freely accessible to everyone. Automating data processing with simple but effective computational pipelines provides the benefit of quicker and easier analyses. In turn, this allows more time for greater emphasis to be placed on designing paradigms, executing experiments, and arriving at the rationale for analyses.

Eye gaze estimation is an interdisciplinary area of research and development which has received quite a lot of interest from academic, industrial and general user communities in the last decades owing to the ease of availability of computing and hardware resources and increasing demands for human computer interaction methods.