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Eye trackers enable a wide range of research and development activities in academia, medicine, and industry. Researchers and developers using eye trackers are able to collect rich user interaction data such as user fixation durations, points of gaze, and 3D models of user pupils that enable unique analysis and applications in areas such as user-interaction design, rehabilitative/restorative medicine, and marketing. Most eye trackers, including the two with the largest market share Gazepoint GP3 HD (“GP3 HD Eye Tracker 150Hz,” 2018) and the Tobii Pro X3-120 (Olsen, 2012), ship with proprietary desktop software packages that collect, house, and analyze captured data. This closed source delivery model makes it difficult for researchers and developers to directly interact with raw eye tracker data, which prevents custom analysis and hinders application development and integration efforts. Further, most closed-source eye tracker analysis tools do not support streaming and real-time analysis applications.

Eyestream: An Open WebSocket-based Middleware for Serializing and Streaming Eye Tracker Event Data from Gazepoint GP3 HD Research Hardware