FACIAL EXPRESSION

Facial-expression recognition aims to automatically detect micro-expressions, that is, facial expressions of short duration from which emotions such as anger, fear, sadness, joy, surprise, and contempt can be derived.

Detection takes place either visually via a camera that records subjects during the experiment or electrically using electrodes on the facial muscles. The latter produces more meaningful results but requires considerably more effort.

  • Significance for the emotional intensity: medium
  • Informative value on the kind of emotion: high
  • Informative value on the mental workload: low
  • Effort: simple but with less significance if video recordings are used, higher significance by using electrical activity of the facial muscles