system [6] is defined for each finger. Recently, the model-based hand posture analysis researches have become increasingly popular for many applications, such as hand gesture recognition, intelligent human-machine interface, virtual reality, and computer animation. However, the main problems that make the conventional marker-based hand posture analysis system inapplicable are inefficient calculation of the inverse kinematics, unable to scale the size of the hand model, and unable to analyze the hand posture when some markers are occluded. In this paper, a scalable hand posture analysis system is proposed to overcome these problems.