title: Improvement of emotional healthcare system with stress detection from ECG signal.
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.
authors.forename: S
authors.initials: S
authors.lastname: Tivatansakul
authors.forename: M
authors.initials: M
authors.lastname: Ohkura
mesh_terms: D004562:Electrocardiography / Q000379:methods*; D004644:Emotions / Q000502:physiology*; D005149:Facial Expression; D006801:Humans; D008603:Mental Health; D012815:Signal Processing, Computer-Assisted; D013315:Stress, Psychological / Q000175:diagnosis / Q000503:physiopathology