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.
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Starting year

2019

Granted funding

Xin Liu
5 000 €

Funder

KAUTE-säätiö

Funding instrument

Travel grant

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