Implementation of interactive interview system using hand gesture recognition

Authors:
Yang Weon Lee
Affiliations:
Department of Information and Communication Engineering, Honam University, Gwangju, South Korea
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Year:
2011

Citing 4
Cited 0

CONDENSATION—Conditional Density Propagation forVisual Tracking

International Journal of Computer Vision
A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Mixed-State Condensation Tracker with Automatic Model-Switching

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Adaptive data association for multi-target tracking using relaxation

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a implementation of virtual interactive interview system. A hand motion recognition algorithm based on the particle filters is applied for this system. The particle filter is well operated for human hand motion recognition than any other recognition algorithm. Through the experiments, we show that the proposed scheme is stable and works well in virtual interview system's environments.