A Predictive Model for Emotion Recognition Based on Individual Characteristics and Autonomic Changes.

In everyday life, emotions play a critical role in health, social relationships, and daily functions. Among physiologicalmeasures, the ANS activity, especially Heart Rate Variability (HRV), plays an important role in many recent theories of emotion. Many studies have analyzed HRV differences in the physiological mechanism of emotional reactions as a function of individual variables such as age, gender, and linguality, as well as other factors like sleep duration. It is the first study that explored the importance of individual characteristic's involvements and combinations was explored in the problem of emotion prediction based on an HRV parameter. To this effect, an emotion predictive model was proposed based on the linear combinations of individual differences with acceptable performance.