The emotion recognition system with Heart Rate Variability and facial image features

Amid the rapid advance of technologies in recent years, people live at fast paces and suffer invisible pressures in family, at workplace as well as in school. Emotional undulation tends easily to lead to melancholy. Statistically, the number of bipolar disorder sufferers in the last three years was 40 times that in the past 10 years. What should be more attended to is that 90 percent of suicide cases involved a history of "depression" or "bipolar disorder". Currently, to assess the mental pressure on an individual, questionnaires or interviews are applied and determination is made by physician's personal experiences. The development of a more viable quantitative method for assessing individual psychological pressure would facilitate self-management of health. This paper thus aims to CCD-capture human face, measure user's physiological data using BtECG and determine his/her emotional status by using the fuzzy theory based on the analysis of human face, eyes and Heart Rate Variability. The features of measurements and the determination are also fed to database, which can serve as reference for doctors in consulting related psychological disorders in future.