Paper Info
Title
Hybrid Gesture Recognition System For Short-Range Use
Abstract
In recent years, various gesture recognition systems have been studied for use in television and video games[1]. In such systems, motion areas ranging from 1 to 3 meters deep have been evaluated[2]. However, with the burgeoning popularity of small mobile displays, gesture recognition systems capable of operating at much shorter ranges have become necessary. The problems related to such systems are exacerbated by the fact that the camera's field of view is unknown to the user during operation, which imposes several restrictions on his/her actions.To overcome the restrictions generated from such mobile camera devices, and to create a more flexible gesture recognition interface, we propose a hybrid hand gesture system, in which two types of gesture recognition modules are prepared and with which the most appropriate recognition module is selected by a dedicated switching module. The two recognition modules of this system are shape analysis using a boosting approach (detection-based approach)[3] and motion analysis using image frame differences (motion-based approach)(for example, see[4]).We evaluated this system using sample users and classified the resulting errors into three categories: errors that depend on the recognition module, errors caused by incorrect module identification, and errors resulting from user actions. In this paper, we show the results of our investigations and explain the problems related to short-range gesture recognition systems.
Year
DOI
Venue
2012
10.1117/12.906953
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS X AND PARALLEL PROCESSING FOR IMAGING APPLICATIONS II
Keywords
Field
DocType
Gesture recognition, short-range gesture recognition, detection based gesture recognition, motion based gesture detection, hybrid approach
Field of view,Computer vision,Gesture,Computer science,Gesture recognition,Speech recognition,Ranging,Sketch recognition,Boosting (machine learning),Artificial intelligence,Motion analysis,Shape analysis (digital geometry)
Conference
Volume
Issue
ISSN
8295
null
0277-786X
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Akihiro Minagawa1268.43
Wei Fan2253.96
Yutaka Katsuyama34813.95
Hiroaki Takebe4156.35
Noriaki Ozawa581.34
Yoshinobu Hotta68314.75
Jun Sun732852.57