Title :
Human-Robot Interaction using Context Awareness and Active Plane Model
Author :
Hong, Seok-ju ; Setiawan, Nurul Arif ; Lee, Chil-Woo
Author_Institution :
Dept. of Comput. Eng., Chonnam Nat. Univ., Kwangju
Abstract :
In this paper, after deciding correctly intention of actor using probabilistic context awareness, we propose method to recognize gesture using active plane model. Firstly, this algorithm defines actor´s state in 5 states; [NULL], [OBJECT], [POSE], [Global Gesture], [Local Gesture]. Then, probabilistic context awareness decides state that has maximum probability value in actor´s present state. Using APM, This algorithm extracts shape information and distance information in disparity image that is input by stereo camera. Finally, APM recognizes sequence of gesture by one gesture using HMM, after extracting eigen-vector and distinguishing each gesture through PCA. In this paper, proposed algorithm shows that it can be utilized by HCI of intelligent robot through experiment
Keywords :
cameras; eigenvalues and eigenfunctions; gesture recognition; hidden Markov models; human computer interaction; intelligent robots; man-machine systems; principal component analysis; probability; stereo image processing; HCI; HMM; PCA; active plane model; eigen-vector; gesture recognition; hidden Markov model; human-robot interaction; intelligent robot; principal component analysis; probabilistic context awareness; stereo camera; Cameras; Context awareness; Context modeling; Data mining; Hidden Markov models; Human computer interaction; Intelligent robots; Principal component analysis; Robot vision systems; Shape; Context Awareness; Gesture Recognition; HMM; Principle Component Analysis;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.314787
