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  • 标题:A Prediction Method of Gesture Trajectory Based on Least Squares Fitting Model
  • 本地全文:下载
  • 作者:Cai Mengmeng ; Feng Zhiquan ; Luan Min
  • 期刊名称:International Journal of VLSI Design & Communication Systems
  • 印刷版ISSN:0976-1527
  • 电子版ISSN:0976-1357
  • 出版年度:2017
  • 卷号:8
  • 期号:1
  • 页码:1
  • DOI:10.5121/vlsic.2017.8101
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Implicit interaction based on context information is widely used and studied in the virtual scene. In contextbased human computer interaction, the meaning of action A is well defined. For instance, the right wave isdefined turning paper or PPT in context B, And it mean volume up in context C. However, we cannot usethe context information when we select the object to be manipulated. In view of this situation, this paperproposes using the least squares fitting curve beam to predict the user's trajectory, so as to determine whatobject the user’s wants to operate. At the same time, the fitting effects of the three curves were compared,and the curve which is more accord with the hand movement trajectory is obtained. In addition, using thebounding box size control the Z variable to move in an appropriate location. Experimental results showthat the proposed in this paper based on bounding box size to control the Z variables get a good effect; byfitting the trajectory of a human hand, to predict the object that the subjects would like to operate. Thecorrect rate is 91%.
  • 关键词:Least-squares method; dynamic gesture recognition; implicit interaction; edge point sequential extraction;context information
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