Paper Info
Title
Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware
Abstract
Human-Computer Interaction (HCI) exists ubiquitously in our daily lives. It is usually achieved by using a physical controller such as a mouse, keyboard or touch screen. It hinders Natural User Interface (NUI) as there is a strong barrier between the user and computer. There are various hand tracking systems available on the market, but they are complex and expensive. In this paper, we present the design and development of a robust marker-less hand/finger tracking and gesture recognition system using low-cost hardware. We propose a simple but efficient method that allows robust and fast hand tracking despite complex background and motion blur. Our system is able to translate the detected hands or gestures into different functional inputs and interfaces with other applications via several methods. It enables intuitive HCI and interactive motion gaming. We also developed sample applications that can utilize the inputs from the hand tracking system. Our results show that an intuitive HCI and motion gaming system can be achieved with minimum hardware requirements.
Year
DOI
Venue
2015
10.1007/s11042-013-1501-1
Multimedia Tools and Applications
Keywords
Field
DocType
Gesture recognition,Hand/Finger tracking,HCI,Kinect,Motion game,NUI
Computer vision,Control theory,Computer science,Gesture,Finger tracking,Gesture recognition,Motion blur,Tracking system,Human–computer interaction,Artificial intelligence,Computer hardware,Natural user interface
Journal
Volume
Issue
ISSN
74
8
1380-7501
Citations 
PageRank 
References 
38
1.22
16
Authors
3
Name
Order
Citations
PageRank
Hui-Shyong Yeo113214.53
Byung-Gook Lee2381.22
Hyo-Taek Lim312221.69