Title :
Biophysical signal based emotion detection for technology enabled affective learning
Author :
Ray, Arindam ; Chakrabarti, Amlan
Author_Institution :
Central Inst. of Technol., Chhattisgarh Swami Vivekanand Tech. Univ., Bhilai, India
Abstract :
Recent neurological study specifies that role of emotion in human cognition is of lot of importance. Human Computer Interaction (HCI) aims for recognizing the learner´s emotional state in order to provide a horizontal interface between human and computer. Our work focuses on emotion detection from physiological signals; this study explores how emotion evolves during learning process and how emotion feedback absolves to improve learning experiences. We propose a learner emotion detection method using biophysical signals and achieved an efficient model for affective learning system, which obtained sound classification rate. Our research shows reasonable results in comparison with the existing systems. The result proves that the recognizer system is efficient.
Keywords :
emotion recognition; learning (artificial intelligence); medical signal detection; HCI; affective learning system; biophysical signal based emotion detection; emotion feedback; human cognition; human computer interaction; learner emotion detection method; learner emotional state recognition; learning process; sound classification rate; technology enabled affective learning; Arrays; Biomedical monitoring; Biosensors; Monitoring; Speech; Support vector machines; Affective Learning; Biophysical Signal; Biosensor; E-Learning; Emotion; Human Computer Interaction; Physiological Signal;
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
DOI :
10.1109/ICECCT.2015.7226075
