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EMRA shared tools development

This space is for sharing freeware tools related to eye tracking and eye movement research, developing these tools through collaboration, and discussing these tools in related forums. You can browse through current and completed EMRA projects on the left. We always welcome new collaborators, students and senior researchers, manufacturers and industrial members who are willing to contribute towards open source tools for eye movement research. EMRA shared tools are generally developed using python and other open source languages and tools.

 

EMRA shared tools development is managed by Jeff Pelz, Rochester Institute of Technology, NY.

 

If you have developed eye movement related tools and are willing to share them, or you think you can help in development, please contact us.

 

Comments

MattJDunn's picture

This should be of interest to researchers and clinicians with an interest in infantile nystagmus syndrome. Joost Felius and I have recently developed a MATLAB function for calculating the Nystagmus Optimal Fixation Function (NOFF) as described in his 2011 paper (see reference below). This provides an automatic method of quantifying the proportion of time spent foveating in eye movement data collected from individuals with infantile nystagmus. By design, it seeks clean data within the eye movement recording, and is therefore especially useful in subjects with limited attention (i.e. children!) The function is provided without warranty and absolutely free of charge at http://bit.ly/1jxNOSD. For information on how NOFF is calculated, the original paper is referenced below. Felius J, Fu VL, Birch EE, Hertle RW, Jost RM and Subramanian V (2011) Quantifying nystagmus in infants and young children: relation between foveation and visual acuity deficit. Invest Ophthalmol Vis Sci 52: 8724–8731.
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