Feature based reading skill analysis using electrooculogram signals

D’Souza Sandra, N. Sriraam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Developing reading skills is an individualistic characteristic and it differs from person to person. Since the eye movements can be intimately correlated to the reading process, by critical observation of the movement of the eyes reading process can be analysed and studied. This research work conducts a pilot study to propose and investigate the importance of eye movements in reading skill analysis. We have considered Electrooculogram (EOG) recorded signals from a group of ten healthy volunteers, of which are five normal readers and five poor readers. Simulation results show a classification accuracy of 67.7 and 88% using Yule-Walker’s and Burg’s estimation methods respectively for horizontal EOG and 74 and 81% for vertical EOG. The Burg’s estimation method stands out better for classification of reading skills. The results indicate the suitability of proposed scheme for identifying the poor readers and hence provide required assistance to people with reading disabilities.

Original languageEnglish
Title of host publicationAdvanced Computing and Communication Technologies - Proceedings of the 9th ICACCT, 2015
PublisherSpringer Verlag
Pages233-244
Number of pages12
Volume452
ISBN (Print)9789811010217
DOIs
Publication statusPublished - 2016
Event9th International Conference on Advanced Computing and Communication Technologies, ICACCT 2015 - New Delhi, India
Duration: 28-11-201529-11-2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume452
ISSN (Print)2194-5357

Conference

Conference9th International Conference on Advanced Computing and Communication Technologies, ICACCT 2015
CountryIndia
CityNew Delhi
Period28-11-1529-11-15

Fingerprint

Eye movements

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Sandra, DS., & Sriraam, N. (2016). Feature based reading skill analysis using electrooculogram signals. In Advanced Computing and Communication Technologies - Proceedings of the 9th ICACCT, 2015 (Vol. 452, pp. 233-244). (Advances in Intelligent Systems and Computing; Vol. 452). Springer Verlag. https://doi.org/10.1007/978-981-10-1023-1_24
Sandra, D’Souza ; Sriraam, N. / Feature based reading skill analysis using electrooculogram signals. Advanced Computing and Communication Technologies - Proceedings of the 9th ICACCT, 2015. Vol. 452 Springer Verlag, 2016. pp. 233-244 (Advances in Intelligent Systems and Computing).
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Sandra, DS & Sriraam, N 2016, Feature based reading skill analysis using electrooculogram signals. in Advanced Computing and Communication Technologies - Proceedings of the 9th ICACCT, 2015. vol. 452, Advances in Intelligent Systems and Computing, vol. 452, Springer Verlag, pp. 233-244, 9th International Conference on Advanced Computing and Communication Technologies, ICACCT 2015, New Delhi, India, 28-11-15. https://doi.org/10.1007/978-981-10-1023-1_24

Feature based reading skill analysis using electrooculogram signals. / Sandra, D’Souza; Sriraam, N.

Advanced Computing and Communication Technologies - Proceedings of the 9th ICACCT, 2015. Vol. 452 Springer Verlag, 2016. p. 233-244 (Advances in Intelligent Systems and Computing; Vol. 452).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Sandra DS, Sriraam N. Feature based reading skill analysis using electrooculogram signals. In Advanced Computing and Communication Technologies - Proceedings of the 9th ICACCT, 2015. Vol. 452. Springer Verlag. 2016. p. 233-244. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-10-1023-1_24