A vision-based hand motion parameter capturing for HCI

A vision-based hand motion parameter capturing for HCI

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 o...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chingyu Weng, Chuanyu Tseng, Mengfen Ho, Chunglin Huang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computational modeling
Fingers
Joints
Particle filters
Solid modeling
Three dimensional displays
Tracking
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ICALIP.2008.4590116