Publication: A new method to detect nystagmus for vertigo diagnosis system by eye movement velocity
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Issued Date
2015
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-84941195409
Rights Holder(s)
Scopus
Bibliographic Citation
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. (2015), p.174-177
Suggested Citation
Charoenpong T., Pattrapisetwong P., Mahasitthiwat V. A new method to detect nystagmus for vertigo diagnosis system by eye movement velocity. Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. (2015), p.174-177. doi:10.1109/MVA.2015.7153161 Retrieved from: https://hdl.handle.net/20.500.14740/6235
Author(s)
Abstract
As vertigo is common disease, it causes by problem with Nystagmus. It is difficult to diagnosis by observation. In this paper, we propose a method to detect nystagmus for vertigo diagnosis system using eye movement velocity. This method consists of three main steps: pupil extraction, velocity of eye movement computation, and nystagmus detection. An infrared camera is used to record eye movement in image sequence format. For first step, pupil is primary extracted by an adaptive threshold, blackest blob, and ellipse fitting technique. For second step, we measures pupil position from its center. Velocity of eye movement is then computed. For third step, involuntary eye movement is detected by comparing velocity of eye movement in each frame with a criterion. To evaluate performance of the proposed method, eye movement is recorded from six subjects. Accuracy rate of involuntary eye movement detection is 87.21%. The results show that the performance of this method is satisfactory. This is first method able to detect nystagmus from video-oculography. © 2015 MVA organization.