Title :
An Intelligent Interactive System Based on Hand Gesture Recognition Algorithm and Kinect
Author :
Xiaoyu Wu ; Cheng Yang ; Youwen Wang ; Hui Li ; Shengmiao Xu
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
Abstract :
In this paper, gesture recognition algorithm with kinect sensor is proposed. the depth cue is used to locate the hand area. Based on the histograms of oriented gradient (HOG) and adaboost learning methods, the static hand algorithm is designed to recognize the predefine gesture in the hand Area. by tracking the hand trajectory by kinect, hmms is used to train and classify dynamic gesture. an intelligent interactive system based on hand gesture recognition algorithm above is presented to choose and control different programs. Experimental results demonstrate that our gesture recognition algorithm is robust and effective, and the built interactive system with more intelligence improves the convenience and nature between human-computer interaction.
Keywords :
gesture recognition; gradient methods; hidden Markov models; human computer interaction; image classification; image sensors; learning (artificial intelligence); Adaboost learning method; HMM; HOG; Kinect sensor; gesture classification; gesture training; hand gesture recognition algorithm; hand trajectory tracking; hidden Markov model; histograms-of-oriented gradient; human-computer interaction; intelligent interactive system; Feature extraction; Gesture recognition; Heuristic algorithms; Hidden Markov models; Image segmentation; Training; Trajectory; Kinect; hand gesture recognition; human-computer natural interaction; vision-based gesture;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.225
