期刊文献+

凌空手势识别综述 被引量:12

A review on the recognition of mid-air gestures
原文传递
导出
摘要 普适计算技术和可穿戴设备的快速发展对自然的手势识别技术提出了新的挑战:应使用户尽可能摆脱对环境和输入设备的束缚,与环境进行自然而有效的手势交互。凌空手势(mid-air gestures)识别是应对新挑战的一类有效的手势识别技术。本文首先对凌空手势的定义进行描述,然后分析和总结现有的基于计算机视觉、超声波和电磁信号的三大类凌空手势识别技术,并指出凌空手势识别技术的应用领域、开放性问题及未来发展方向。 The rapid development of the ubiquitous computing and wearable devices witnesses a new challenge in the natural hand gesture recognition: to free the users from the constraints of the environment and the devices and help the users interact with the environment in a natural and effective way. And the mid-air gesture recognition is one of the effective methods, capable of dealing with the challenge. This paper describes the definition of the mid-air gesture at first, and then analyzes and summarizes the existing hand gesture recognition methods, based on the computer vision, the ultrasonic signal and the electromagnetic wave. At last, this paper discusses the applications of the mid-air zesture recognition, some open ouestions and the development in the future.
出处 《科技导报》 CAS CSCD 北大核心 2017年第16期64-73,共10页 Science & Technology Review
基金 国家自然科学基金项目(61502456 61572471) 国家国际科技合作专项(2014DFG12750)
关键词 人机交互 凌空手势识别 普适环境 human computer interaction mid-air gestures recognition ubiquitous environment
  • 相关文献

参考文献5

二级参考文献40

  • 1郭兴伟,葛元,王林泉.基于形状特征的字母手势的分类及识别算法[J].计算机工程,2004,30(18):130-132. 被引量:11
  • 2张宏志,张金换,岳卉,黄世霖.基于CamShift的目标跟踪算法[J].计算机工程与设计,2006,27(11):2012-2014. 被引量:57
  • 3Liu Y, Gan Z J, Su Y. Static hand gesture recognition and its application based on support vector machines [C] // Proceedings of the 9th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Phuket, 2008:517-521. 被引量:1
  • 4Park H S, Kim E Y, Jang S S. HMM-based gesture recognition for robot control [M]//Lecture Notes in Computer Science. Heidelberg: Springer, 2005, 3522: 607-614. 被引量:1
  • 5Liu H, Feng S Q, Zha H B, et al. Document image retrieval based on density distribution feature and key block feature [C] //Proceedings of the 8th International Conference on Document Analysis and Recognition. Washington D C: IEEE Computer Society Press, 2005:1040-1044. 被引量:1
  • 6王修晖,鲍虎军.基于自适应遗传算法的手势识别[J].计算机辅助设计与图形学学报,2007,19(8):1056-1062. 被引量:16
  • 7阮秋琦.数字图像处理学[M].北京:电子工业出版社,2000.. 被引量:13
  • 8Wu Ying,Huang Thomas S..Vision-based gesture recognition:A review.In:Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction,Gif-sur-Yvette,France,1999,103~115 被引量:1
  • 9Volkert B,Stephen V,Mark B,Andy C..FingARtips:Gesture based direct manipulation in augmented reality.In:Proceedings of the 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia,2004,212~220 被引量:1
  • 10Shahzad Malik,Joe Laszlo.Visual touchpad:A two-handed gestural input device.In:Proceedings of the ACM International Conference on Multimodal Interfaces (ICMI' 04),State College,PA,USA,2004,289~296 被引量:1

共引文献96

同被引文献95

引证文献12

二级引证文献50

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部