Real-Time Gesture Recognition for Controlling a Virtual Hand

Constantin Catalin Moldovan; Ionel Staretu

doi:10.4028/www.scientific.net/AMR.463-464.1147

Paper Titles

Optimal Design of the Mechanical Systems Using Parametric Technique & MBS (Multi-Body Systems) Software
p.1129

Optimization by Simulation of Fabrication in Manufacturing Robotized Systems
p.1133

Optimization of the Hydraulic Bellows Engine Parameters Used to Drive Irrigation Reel Hose Machine - IATF 300
p.1137

Providing a Pattern to Evalute CRM Systems Based on EFQM Model in SMEs
p.1141

Real-Time Gesture Recognition for Controlling a Virtual Hand
p.1147

Research of the Neural Network by Back Propagation Algorithm
p.1151

Research on the Application of Virtual Reality Technology on Industry Automatic Simulation
p.1155

Risk Priority Analysis for Engine Based on Fuzzy Weighted Geometric Mean
p.1160

Software Module for Objects Shape Tracing and Recognition before Gripping
p.1165

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 463-464Real-Time Gesture Recognition for Controlling a...

Real-Time Gesture Recognition for Controlling a Virtual Hand

Abstract:

Object tracking in three dimensional environments is an area of research that has attracted a lot of attention lately, for its potential regarding the interaction between man and machine. Hand gesture detection and recognition, in real time, from video stream, plays a significant role in the human-computer interaction and, on the current digital image processing applications, this represent a difficult task. This paper aims to present a new method for human hand control in virtual environments, by eliminating the need of an external device currently used for hand motion capture and digitization. A first step in this direction would be the detection of human hand, followed by the detection of gestures and their use to control a virtual hand in a virtual environment.

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Periodical:

Advanced Materials Research (Volumes 463-464)

Pages:

1147-1150

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.463-464.1147

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Online since:

February 2012

Authors:

Constantin Catalin Moldovan, Ionel Staretu

Keywords:

Grasping, Motion Detection, Object Detection, Object Recognition, Virtual Reality (VR)

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