Micro-gesture analysis with machine learning for hidden emotion understanding
Emotions are a central part of human communication, play an important role in everyday social life, and should have a key role in computer-mediated interaction. When people try to hide their true feelings, the subconscious mind acts automatically and independently of our verbal information, so body language could give additional indication. Even people who have mastered body language can make small mistakes; these mistakes are what we call micro-gestures. Micro-gestures are small, automatic gestures, most of which are beyond our awareness, or unconscious. Being able to automatically detect and then amplify such gestures often enables to discover their symbolic meaning, opening up rich paths of emotional intelligence.
This research is planned to be carried out during the period 01.09.2018-31.08.2022 in University of Oulu. Two Postdoctoral researchers and one PhD student will participate in this project.