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Rungsilp, Chutimon; Piromsopa, Krerk; Viriyopase, Atthaphon; U-Yen, Kongpop – International Association for Development of the Information Society, 2021
The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Artificial Intelligence, Cognitive Processes