Dynamic gesture recognition using 3D trajectory

Author

Qianqian Wang ; Yuan-Rong Xu ; Xiao Bai ; Dan Xu ; Yen-Lun Chen ; Xinyu Wu

Author_Institution

Guangdong Provincial Key Lab. of Robot. & Intell. Syst., Shenzhen Inst. of Adv. Technol., Shenzhen, China

fYear

2014

fDate

26-28 April 2014

Firstpage

598

Lastpage

601

Abstract

In this paper, we proposed an effective method which can recognize dynamic hand gesture by analyzing the information of motion trajectory captured by leap motion in three-dimension space. A simple gesture spotting is tried. And the orientation characteristics are quantified and coded as the feature after pre-processing the data. Then an improved discrete HMM algorithm is utilized to model and classify gestures. Experimental results on a self-built database of dynamic hand gestures (numbers 0-9) demonstrate the effectiveness of the proposed method.

Keywords

gesture recognition; hidden Markov models; image classification; image motion analysis; 3D trajectory; data preprocessing; discrete HMM algorithm; dynamic hand gesture recognition; gesture classification; gesture modeling; gesture spotting; leap motion; motion trajectory; three-dimension space; Feature extraction; Gesture recognition; Hidden Markov models; Sensors; Three-dimensional displays; Trajectory; 3D trajectory; HMM; gesture recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Technology (ICIST), 2014 4th IEEE International Conference on

Conference_Location

Shenzhen

Type

conf

DOI

10.1109/ICIST.2014.6920549

Filename

6920549