Paper Info
Title
Multi-pointing Method Using a Desk Lamp and Single Camera for Effective Human-Computer Interaction
Abstract
Multi-pointing has become an important research interest, and is used in many computer applications to allow users to interact effectively with a program. Multi-pointing is used as an input method, and can also be fun and very user-friendly. However, in order to use the method, a complex and expensive hardware configuration is required. This paper presents a new and low cost method of multi-pointing based on a simple hardware configuration. Our method uses dual hand recognition, a table lamp, and a single CMOS camera. The table lamp provides a steady illumination environment for image processing, and the CMOS camera is mounted to maintain good stability. A single camera is used for dual hand recognition to achieve multi-pointing. Therefore, image processing does not require intensive computing which allows us to use a stand-alone system (including a 32 bit RISK processor). The results of the proposed method show that effective control navigation of applications such as Google Earth or Google Maps can be achieved.
Year
DOI
Venue
2009
10.1007/978-3-642-02580-8_57
HCI (3)
Keywords
Field
DocType
effective human-computer interaction,input method,low cost method,desk lamp,single cmos camera,google earth,single camera,table lamp,image processing,dual hand recognition,proposed method show,cmos camera,multi-pointing method,interaction effect,human computer interaction
32-bit,Computer graphics (images),Computer science,Input method,Image processing,CMOS sensor,Human–computer interaction,Computer Applications,Computer hardware,Desk
Conference
Volume
ISSN
Citations 
5612
0302-9743
0
PageRank 
References 
Authors
0.34
5
6
Name
Order
Citations
PageRank
Taehoun Song1233.04
Thien Cong Pham2223.12
Soonmook Jung3101.66
Jihwan Park46013.61
Keyho Kwon5113.05
Jaewook Jeon652.25