Title :
Improvement of emotional healthcare system with stress detection from ECG signal
Author :
S. Tivatansakul;M. Ohkura
Author_Institution :
Graduate School of Engineering, Shibaura Institute of Technology, Tokyo, Japan
Abstract :
Our emotional healthcare system is designed to cope with users´ negative emotions in daily life. To make the system more intelligent, we integrated emotion recognition by facial expression to provide appropriate services based on user´s current emotional state. Our emotion recognition by facial expression has confusion issue to recognize some positive, neutral and negative emotions that make the emotional healthcare system provide a relaxation service even though users don´t have negative emotions. Therefore, to increase the effectiveness of the system to provide the relaxation service, we integrate stress detection from ECG signal. The stress detection might be able to address the confusion issue of emotion recognition by facial expression to provide the service. Indeed, our results show that integration of stress detection increases the effectiveness and efficiency of the emotional healthcare system to provide services.
Keywords :
"Stress","Emotion recognition","Electrocardiography","Medical services","Accuracy","Face recognition","Real-time systems"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7319953