An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World Situations

An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World Situations

Previous research has proven the strong influence of emotions on student engagement and motivation. Therefore, emotion recognition is becoming very relevant in educational scenarios, but there is no standard method for predicting students’ affects. However, physiological signals have been widely use...

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Bibliographic Details
Main Authors: Ana Serrano-Mamolar, Miguel Arevalillo-Herráez, Guillermo Chicote-Huete, Jesus G. Boticario
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
affective computing
physiological sensors
nonintrusive
learner modelling
user-centred systems
Online Access:https://www.mdpi.com/1424-8220/21/5/1777

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https://www.mdpi.com/1424-8220/21/5/1777

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