A framework for stress detection through video recorded facial cues is proposed.
A thorough experiment using external and internal stressors is established.
Analysis relies on semi-voluntary facial features instead of facial expressions.
Relationship between participants self reports and facial signs is estimated.
Facial cues implicated in stress/anxiety are identified using machine learning techniques.