Model-based articulated hand motion tracking for gesture recognition

摘要

Conventional model-based hand gesture analysis systems require high computation cost to solve the finger inverse kinematics that makes them very difficult for real-time implementation. In this paper, we propose a fast hand model fitting method for the tracking of hand motion. The model fitting method consists of (1) finding the closed-form inverse kinematics solution for the finger fitting process, and (2) defining the alignment measure for the wrist fitting process. In the experiments, we illustrate that our hand model fitting method is effective and real-time implementable.