@article{
 title = {SET: a pupil detection method using sinusoidal approximation},
 type = {article},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {Dark Pupil,Ellipse Fitting,Eye Tracking,Head Mounted Device,Pupil Detection,dark pupil,eye tracking,head mo,pupil detection},
 pages = {4},
 volume = {8},
 id = {5e7e7b9d-bea1-3ab9-ba8b-3a2fc080a826},
 created = {2015-04-09T10:24:18.000Z},
 file_attached = {true},
 profile_id = {69574ccf-a202-3c13-b9e9-b6e77dadc9f9},
 last_modified = {2015-04-09T15:58:52.000Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 abstract = {Mobile eye-tracking in external environments remains challenging, despite recent advances in eye-tracking software and hardware engineering. Many current methods fail to deal with the vast range of outdoor lighting conditions and the speed at which these can change. This con-fines experiments to artificial environments where conditions must be tightly controlled. Ad-ditionally, the emergence of low-cost eye tracking devices calls for the development of analy-sis tools that enable non-technical researchers to process the output of their images. We have developed a fast and accurate method (known as ‘SET’) that is suitable even for natural envi-ronments with uncontrolled, dynamic and even extreme lighting conditions. We compared the performance of SET with that of two open-source alternatives by processing two collec-tions of eye images: images of natural outdoor scenes with extreme lighting variations (‘Natu-ral’); and images of less challenging indoor scenes (‘CASIA-Iris-Thousand’). We show that SET excelled in outdoor conditions and was faster, without significant loss of accuracy, in-doors. SET offers a low cost eye-tracking solution, delivering high performance even in chal-lenging outdoor environments. It is offered through an open-source MATLAB toolkit as well as a dynamic-link library (‘DLL’), which can be imported into many programming languages including C# and Visual Basic in Windows OS (www.eyegoeyetracker.co.uk).},
 bibtype = {article},
 author = {Javadi, Amir-homayoun and Hakimi, Zahra and Barati, Morteza and Walsh, Vincent and Tcheang, Lili},
 journal = {Frontiers in neuroengineering}
}

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