DocumentCode :
3034967
Title :
Physiological signals based human emotion Recognition: a review
Author :
Jerritta, S. ; Murugappan, M. ; Nagarajan, R. ; Wan, Khairunizam
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis (UniMAP), Arau, Malaysia
fYear :
2011
fDate :
4-6 March 2011
Firstpage :
410
Lastpage :
415
Abstract :
Recent research in the field of Human Computer Interaction aims at recognizing the user´s emotional state in order to provide a smooth interface between humans and computers. This would make life easier and can be used in vast applications involving areas such as education, medicine etc. Human emotions can be recognized by several approaches such as gesture, facial images, physiological signals and neuro imaging methods. Most of the researchers have developed user dependent emotion recognition system and achieved maximum classification rate. Very few researchers have tried to develop a user independent system and obtained lower classification rate. Efficient emotion stimulus method, larger data samples and intelligent signal processing techniques are essential for improving the classification rate of the user independent system. In this paper, we present a review on emotion recognition using physiological signals. The various theories on emotion, emotion recognition methodology and the current advancements in emotion research are discussed in subsequent topics. This would provide an insight on the current state of research and its challenges on emotion recognition using physiological signals, so that research can be advanced to obtain better recognition.
Keywords :
emotion recognition; man-machine systems; medical signal processing; psychology; signal classification; classification rate; emotion stimulus method; emotional state recognition; facial images; gesture; human emotion recognition; human-computer interaction; intelligent signal processing techniques; neuroimaging methods; physiological signals; Accuracy; Electromyography; Emotion recognition; Feature extraction; Humans; Skin; Visualization; Emotion; Inducement Stimuli; Physiological signals; Signal Processing Techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
Conference_Location :
Penang
Print_ISBN :
978-1-61284-414-5
Type :
conf
DOI :
10.1109/CSPA.2011.5759912
Filename :
5759912
Link To Document :
بازگشت