Evolutionary mental state transition model helps machine learning algorithms track emotions

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.