A vision-based hand motion parameter capturing for HCI

Author

Weng, Chingyu ; Tseng, Chuanyu ; Ho, Mengfen ; Huang, Chunglin

Author_Institution

Electr. Eng. Dept., Nat. Tsing-Hua Univ., Hsinchu

fYear

2008

fDate

7-9 July 2008

Firstpage

1219

Lastpage

1224

Abstract

In this paper, we develop a real-time motion capturing system. Based on 3-D hand model with structural constraint and kinematical constraint, we may estimate human hand state in high degree of freedom space by using the proposed separable state-based particle filter (SSBPF). We separate the states of the variable and track five different fingers individually by using the particle filter. Combining the hand model and SSBPF, we implement a human hand gesture reconstruction system.

Keywords

computer vision; gesture recognition; human computer interaction; image reconstruction; motion estimation; particle filtering (numerical methods); state estimation; 3D hand model; HCI; freedom space; human hand gesture reconstruction system; human hand state estimation; kinematical constraint; real-time motion capturing system; separable state-based particle filter; vision-based hand motion parameter capturing; Fingers; Human computer interaction; Image reconstruction; Parameter estimation; Particle filters; Sensor systems; Space technology; State estimation; State-space methods; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1723-0

Electronic_ISBN

978-1-4244-1724-7

Type

conf

DOI

10.1109/ICALIP.2008.4590116

Filename

4590116