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

fYear

2015

fDate

5-7 March 2015

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6084-2

Type

conf

DOI

10.1109/ICECCT.2015.7226075

Filename

7226075