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Avaliação automática de testes de atenção e acuidade visual

Authors: Pereira, Mariana de Oliveira;

Avaliação automática de testes de atenção e acuidade visual

Abstract

In recent years, our research group on Language Processing, GEPL, has been collaborating with Centro Neurosensorial de Braga, led by Dr. Ana Paula Azevedo. In this context, some serious games were developed and installed for recognizing shapes, emotions and training central and peripheral vision. They are used in memory therapy, deconcentration, dyslexia, and other problems that affect the acquisition of knowledge in learning processes.The ideas that rose up along the literature review done on those areas, will be exposed along the state-of-the-art chapter in this report. This thesis proposes a system that will implement an error detection algorithm based on speech-to-text analysis to check whether the spoken sequence contains errors or not. As the system is intended to be installed in the Neurosensory Center, the results will be presented visually to help the therapist in their day-to-day work and monitor the actual use of the system.

Country
Portugal
Related Organizations
Keywords

Serious games, Reconhecimento de fala, Jogos sérios, Speech recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green