Title :
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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICIST.2014.6920549
