Haman micro-gesture analysis for hidden emotion understanding –Research cooperation and academic visiting of Imperial College London
Description of the granted funding
This project is conducted to develop human behavior understanding technologies to endow machines the ability of social-awareness. Like facial expressions, which have been widely used for human emotion perception, human body gestures are also extremely critical cues for understanding human social attitudes. In this project, we refer such body behavior cues which emerge in social communication as social gestures, and attempt to conduct automatic analysis on them by leveraging computer vision and machine learning techniques.
Show moreStarting year
2019
Granted funding
Xin Liu
5 000 €
Other information
Funding decision number
KAUTE-säätiö_20190306
Fields of science
NATURAL SCIENCES
Keywords
computer vision, activity analysis, human behavior understanding
Identified topics
artificial intelligence, machine learning