A Low-Cost Solution of Eye Movement Data Acquisition Based on Computer Vision
This paper presents a method and idea based on the frame-type eye movement data acquisition platform using the pupillary reflexology and image recognition technology utilizing computer vision that relies on a much lower hardware cost than existing equipment to meet the requirements of eye movement equipment for general human factors engineering science research. The method is inexpensive, easy to implement, has good accuracy, and subjects are able to wear equipment and move. For the application perspective of this method, it can effectively help reduce the cost of eye movement data acquisition project. The volume and weight of the entire hardware system can be controlled within a good range and depends on the compilability of python programs; it can be quickly ported to different platforms so the entire set of experimental equipment can be brought out of the laboratory to complete a more extensive study in human factors engineering research.
KeywordsFrame-type eye movement data acquisition platform Lower hardware costs Human factor engineering Pupillary reflexology Image recognition technology
We would like to acknowledge the National Natural Science Foundation of China for funding this research under project: driver distraction strategies research based on in-vehicle technologies using (project number 71601007).
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