Understanding human interaction in RGB-D videos

• Main Author: Shi, Yuanyuan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/61366
• Institution: Nanyang Technological University

In this report, a human hand gesture recognition system is proposed. The system can understand both static and dynamic human hand gestures. So far, the system is able to recognize 9 static hand gestures: numbers from one to nine; and 1 dynamic hand gesture: number ten. In the system impleme...