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A self calibration method using a soft clustering procedure for eye movement recordings.

M Arzi·G Laissard·C Prablanc
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Abstract

A nearly automatic method for calibrating eye movement records has been developed. This very robust method is based on a soft clustering algorithm which allows exploration of the whole range of eye movement records for reliable calibration. In contrast to many other methods which carry out the calibration on several discrete points, this method is suitable for continuous determination of the transfer function of the eye movement transducer. Moreover it simultaneously uses the combined properties of vestibulo-ocular reflex, neck-to-eye reflex and smooth pursuit system to reach approximately a unity gain and zero phase lag (in subjects with no severe vestibular disorders or ocumomotor palsy). In addition, this method does not rely heavily on the degree of attention of the subject. The method is particularly suited for the calibration of non linear or noisy transducers like Electro Oculography (EOG). Calibration is performed within a few seconds. So when necessary in clinical applications it is possible to repeat calibrations frequently.

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AlgorithmsCalibrationElectrooculographyEye MovementsHumansReflex, Vestibulo-OcularJournal Article

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BibTeXRIS

M Arzi, G Laissard, C Prablanc. 1998-03-13. A self calibration method using a soft clustering procedure for eye movement recordings.. https://doi.org/10.1016/s0165-0270(97)00181-7

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