Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling shifts in internal emotions rather than only interpreting external emotional signals.
Evolutionary mental state transition model helps machine learning algorithms track emotions
