Detection of Dyslexia Using Eye Tracking

被引:0
|
作者
Nerusil, Boris [1 ]
Polec, Jaroslav [1 ]
Skunda, Juraj [1 ]
机构
[1] Slovak Univ Technol Bratislava, Inst Multimedia ICT, Bratislava, Slovakia
关键词
dyslexia; eye tracking; convolution neural network; interpolation; spectrum;
D O I
10.1109/SPSYMPO51155.2020.9593313
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The goal of this paper is to provide another perspective and to extend the experiments conducted in Sweden in the article Screening for Dyslexia Using Eye Tracking during Reading. Our experiments were accomplished on a dataset containing 185 recordings of participants that was provided by previous researchers. Participants were categorized into two groups - High Risk (HR) and Low Risk (LR). 97 subjects (76 males and 21 females) were assigned to the HR group and 88 subjects (69 males and 19 females) were identified without dyslexia belonging to the LR group. Early detection of subjects suffering from cognitive impairment is beneficial in order to undergo therapy at an early stage and therefore the experiments were conducted on subjects attending the third grade of primary school (9 to 10 years old). Our approach achieved an accuracy score of 96.2 % (STD +/- 3.2) by classifying subjects into the correct groups.
引用
收藏
页码:202 / 205
页数:4
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