TY  - JOUR 
AU  - Serrano Mamolar, Ana
AU  - Arevalillo-Herráez, Miguel
AU  - Chicote Huete, Guillermo
AU  - Boticario, Jesús G.
PY  - 2021
UR  - http://hdl.handle.net/10259/7376
AB  - 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....
LA  - eng
PB  - MDPI
KW  - Affective computing
KW  - Physiological sensors
KW  - Nonintrusive
KW  - Learner modelling
KW  - User-centred systems
KW  - Informática
KW  - Computer science
TI  - An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World Situations
DO  - 10.3390/s21051777
T2  - Sensors
VL  - 21
ER  -