...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Personal and Ubiquitous Computing >Gesture recognition algorithm based on image information fusion in virtual reality
【24h】

Gesture recognition algorithm based on image information fusion in virtual reality

机译：虚拟现实中基于图像信息融合的手势识别算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Combining image information fusion theory with machine learning for biometric recognition is an important field in computer vision research in recent years. Based on this, a gesture recognition algorithm based on image information fusion in virtual reality is proposed. Firstly, it introduces the basic concepts and principles of virtual reality and information fusion technology, analyzes the characteristics and basic components of virtual environment system, points out the relationship between human and virtual environment and the impact of virtual environment on people, and gives a virtual reality. Then, the multi-sensor information fusion model of the virtual environment for gesture recognition is proposed. The membership degree and template matching algorithm are further selected for data correlation and gesture recognition in the fusion model. Finally, the design comparison experiment verifies the proposed method. The results show that the proposed multi-sensor information fusion model in the interactive virtual environment achieves the highest recognition success rate of 96.17% and is better than several comparison machine learning methods in recognition time.
机译：近年来，将图像信息融合理论与机器学习相结合进行生物特征识别是计算机视觉研究的重要领域。在此基础上，提出了一种基于虚拟现实中图像信息融合的手势识别算法。首先，介绍了虚拟现实和信息融合技术的基本概念和原理，分析了虚拟环境系统的特征和基本组成，指出了人与虚拟环境之间的关系以及虚拟环境对人的影响，并给出了虚拟现实。然后，提出了用于手势识别的虚拟环境的多传感器信息融合模型。在融合模型中，进一步选择隶属度和模板匹配算法进行数据关联和手势识别。最后，设计比较实验验证了该方法的有效性。结果表明，所提出的交互式虚拟环境中的多传感器信息融合模型实现了最高的识别成功率96.17％，在识别时间上优于几种比较机器学习方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号