Virtual grasping recognition based on prior knowledge in an AR system

WANG Chao1; HUANG Dong-jin1; WANG Guan1; DING You-dong2

doi:10.13873/j.1000-97872011.12.030

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Virtual grasping recognition based on prior knowledge in an AR system

更新时间：2025-09-11

- Virtual grasping recognition based on prior knowledge in an AR system
- Vol. 30, Issue 12, Pages: 28-31(2011)
- 作者机构：
  
  1. 上海大学计算机工程与科学学院
  2. 上海大学影视艺术技术学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.12.030
  CLC： TP391.9
- Published：2011
- 稿件说明：
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[1]汪超,黄东晋,王冠,丁友东.增强现实系统中基于先验知识的虚拟抓取识别[J].传感器与微系统,2011,30(12):28-31.

WANG Chao1, HUANG Dong-jin1, WANG Guan1, et al. Virtual grasping recognition based on prior knowledge in an AR system[J]. 2011, 30(12): 28-31.
[1]汪超,黄东晋,王冠,丁友东.增强现实系统中基于先验知识的虚拟抓取识别[J].传感器与微系统,2011,30(12):28-31. DOI： 10.13873/j.1000-97872011.12.030.

WANG Chao1, HUANG Dong-jin1, WANG Guan1, et al. Virtual grasping recognition based on prior knowledge in an AR system[J]. 2011, 30(12): 28-31. DOI： 10.13873/j.1000-97872011.12.030.

摘要

为了实现增强现实系统中抓取动作的识别

针对传统方法实时性不强、容易产生误判的不足

提出了基于先验知识的虚拟抓取识别算法。通过对大量实验数据的分析

提取关键数据进行处理并完成决策树的构建

通过基于一种数据拟合的碰撞检测方法

真正实现了真实手对虚拟对象的抓取识别。实验结果表明:该算法识别率高、实时性好、交互自然真实

较好地满足了增强现实系统中抓取交互的需求。

Abstract

In order to solve the real-time problem and the misjudgment of the traditional method

the virtual grasping recognition algorithm based on prior knowledge is introduced in an augmented reality（AR）.Through analyzing a large number of experiment datas

the key datas are extracted and processed

the decision tree is constructed.A new kind of collision detection method based on data-fitting have been use to realize the recognition of grasping.The experiment results show that the algorithm has high recognition rate

well real-time

and the process of interaction is natural

which satisfies the requirement of interaction in AR system.

关键词

Keywords

references

增强现实系统中基于视觉感知的抓取识别 [J]. 姚争为,陈一民,陈伟,陈明. 计算机辅助设计与图形学学报 . 2009(11)

基于动作图的视角无关动作识别 [J]. 杨跃东,郝爱民,褚庆军,赵沁平,王莉莉. 软件学报 . 2009(10)

Induction of decision trees [J] . J. R. Quinlan. Machine Learning . 1986 (1)

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