An improved spherical coordinate system applied in oculomotor system- The possibility for rapid strabismus diagnosis

Haipeng Liu, Defeng Wang, Ka Sing Wong, Yinglan Gong, Ling Xia

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

1 Citation (Scopus)
29 Downloads (Pure)

Abstract

A variation of spherical coordinate system is proposed for the simplification of illustration of Listing's law. With this method, the rotation of an eye is decomposed into two independent rotations, largely simplified its math expression. The robotics method of motion matrix transformation is then applied to derive the math interpretation of primary Listing's law and half-angle rule respectively. Based on the results, a new algorithm for eyeball position and orientation measurement is proposed. In this algorithm, all the parameters can be directly measured from photos, thus makes rapid diagnosis of strabismus possible.

Original languageEnglish
Title of host publication2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016
EditorsJiayi Du, Chubo Liu, Kenli Li, Lipo Wang, Zhao Tong, Maozhen Li, Ning Xiong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages729-733
Number of pages5
ISBN (Electronic)9781509040933
DOIs
Publication statusPublished - 19 Oct 2016
Externally publishedYes
Event12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery - Changsha, China
Duration: 13 Aug 201615 Aug 2016
Conference number: 12

Publication series

Name2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016

Conference

Conference12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
Abbreviated titleICNC-FSKD 2016
Country/TerritoryChina
CityChangsha
Period13/08/1615/08/16

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Keywords

  • 3-D position and orientation measurement
  • coordinate transformation
  • Listing's law
  • oculomotor modeling

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Control and Optimization
  • Computer Science Applications
  • Signal Processing

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