%0 Journal Article
%@ 2588-1086
%A Nguyen, Duc Thao
%A Nguyen, Viet Anh
%A Le, Thanh Ha
%A Ngo, Thi Duyen
%D 2021
%F SisLab:4480
%I VNU
%J VNU Journal of Science: Computer Science and Communication Engineering
%N 1
%T Robustify Hand Tracking by Fusing Generative and Discriminative Methods
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4480/
%V 37
%X With the development of virtual reality (VR) technology and its applications in many fields, creating simulated hands in the virtual environment is an e ective way to replace the controller as well as to enhance user experience in interactive processes. Therefore, hand tracking problem is gaining a lot of research attention, making an important contribution in recognizing hand postures as well as tracking hand motions for VR’s input or human machine interaction applications. In order to create a markerless real-time hand tracking system suitable for natural human machine interaction, we propose a new method that combines generative and discriminative methods to solve the hand tracking problem using a single RGBD camera. Our system removes the requirement of the user having to wear to color wrist band and robustifies the hand localization even in di cult tracking scenarios.