Hidden Markov Models for Analysis of Eye Movements of Dyslexic Children
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208768" target="_blank" >RIV/68407700:21230/13:00208768 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6622783" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6622783</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDSP.2013.6622783" target="_blank" >10.1109/ICDSP.2013.6622783</a>
Alternative languages
Result language
angličtina
Original language name
Hidden Markov Models for Analysis of Eye Movements of Dyslexic Children
Original language description
The paper describes an application of hidden Markov models to dyslexia detection from eye movements. Eye movements of reading-age dyslexic and control children are measured, pre-processed and hidden Markov model with two hidden states is trained on velocity time series for each child. The two states of the model correspond to two component of the eye movements signal - fixations and saccades. The elements of transition matrix are further used one by one as features for 1-dimensional linear Bayes classifier. It is shown that this method applied to eye movements during the simplest non-verbal task can lead to relatively high performance. Thus, we propose this feature extraction for a more sophisticated systems which would be able to detect dyslexia in pre-school children.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GP13-21696P" target="_blank" >GP13-21696P: Feature selection for temporal context aware models of multivariate time series</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Conference on Digital Signal Processing
ISBN
978-1-4673-5805-7
ISSN
1546-1874
e-ISSN
—
Number of pages
5
Pages from-to
—
Publisher name
IEEE
Place of publication
Piscataway
Event location
Santorini
Event date
Jul 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—