ReadTREAT
Computer-aided contactless assessment of reading difficulties and personalized treatment
Goal
The ReadTREAT project aims to implement the best practices of biosignal acquisition and analysis to develop computer-aided tools for reading difficulties identification, treatment, and evaluation. It will be the first project to incorporate an assortment of text visualization strategies, as well as multimodal biosignal measurements with both a cross-sectional and a longitudinal study.
Methodology
The unobtrusive and contactless stress monitoring combined with eye movement analysis will be used for the creation of informative features, which will be used for further statistical analysis and machine learning. Personalized recommendations of preferred text visualization strategy for each child will also be given, while the machine learning algorithms will provide decision support tools for reading difficulties identification.
Results
The project will result in the developed tools for objective identification of reading difficulties, treatment improvement, and evaluation, creating a reliable system that will benefit a wide community.
Objectives
- Development of the experimental protocol to examine the impact of text visualization strategies on reading performance.
- Data acquisition of the multimodal biosignal datasets in the cross-sectional and the longitudinal study.
- Development of unobtrusive and contactless computer-aided tools for screening reading difficulties.
- Recommending personalized treatment and a personalized follow-up of reading difficulties treatment.
- Dissemination of project outcomes through a wide range of scientific publications, a workshop and open-access data.
Upcoming Events
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