基于两种特定手势的手骨架估计

Zhang Zhenning, Chen Na, Lin Weiqing
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引用次数: 0

摘要

在基于mems的手部动作捕捉系统中,通常利用人体手部解剖结构的统计长度来计算虚拟手骨架比例。使用者个体手部比例差异的影响,导致手部精细活动的误差。本文通过分析手部的骨架结构和运动特征,分别对两种特定手势进行标定,提出了一种基于两种特定手势的手部骨架估计算法。同时,基于运动学计算虚拟手骨架的姿态和位置,高精度地重构虚拟手的运动。手部跟踪和交互在仿真系统中工作良好。
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Hand Skeleton Estimation Based on Two Specific Gestures
In the MEMS-based hand motion capture system, virtual hand skeleton proportion is usually calculated by using the statistical length of human hand anatomy. The effect of the difference in the proportion of the individual hand of the users, resulting in the error of the delicate activities of the hand. In this paper, a hand skeleton estimation algorithm using two specific gestures is proposed by analyzing the skeleton structure and motion characteristics of the hand and calibrating the two specific gestures respectively. In the meantime, the attitudes and positions of the virtual hand skeleton is calculated based on kinematics, and the virtual hand movement is reconstructed with high accuracy. The hand tracking and interaction works fine in a simulation system.
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