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

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 5; p. 1777
• Main Authors: Serrano-Mamolar, Ana, Arevalillo-Herráez, Miguel, Chicote-Huete, Guillermo, Boticario, Jesus G.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 04.03.2021; MDPI AG
• Subjects: affective computing; Emotions; Heart Rate; Humans; learner modelling; nonintrusive; physiological sensors; Skin Temperature; user-centred systems; learner modelling; user-centred systems; physiological sensors; nonintrusive; affective computing

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...