Arzi M, Laissard G, Prablanc C
INSERM Unité 94, vision et motricité, Bron, France.
J Neurosci Methods. 1998 Mar 13;80(1):1-11. doi: 10.1016/s0165-0270(97)00181-7.
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.
已经开发出一种几乎自动的眼动记录校准方法。这种非常稳健的方法基于一种软聚类算法，该算法允许对整个眼动记录范围进行探索以进行可靠校准。与许多在几个离散点进行校准的其他方法不同，此方法适用于连续确定眼动换能器的传递函数。此外，它同时利用前庭眼反射、颈眼反射和平稳跟踪系统的综合特性，以达到近似单位增益和零相位滞后（在没有严重前庭障碍或动眼神经麻痹的受试者中）。另外，该方法不太依赖于受试者的注意力程度。该方法特别适用于对诸如眼电图（EOG）之类的非线性或有噪声的换能器进行校准。校准在几秒钟内即可完成。因此，在临床应用中必要时，可以频繁重复校准。
