Title :
Gesture Recognition Based on Neural Networks for Dance Game Contents
Author :
Kim, NamHo ; An, Youngeun ; Cha, ByungRae
Author_Institution :
Dept. of Internet Software, Honam Univ., Gwangju, South Korea
fDate :
June 30 2009-July 2 2009
Abstract :
The purpose of this study was to propose the method to recognize gestures based on neural networks and inertia sensor which recognizes the motions of the user using inertia sensor and lets the user enjoy the game by comparing the recognized gestures with the pre-defined gestures for the dance game contents.
Keywords :
computer games; gesture recognition; neural nets; sensors; dance game content; gesture recognition; inertia sensor; neural network; Character recognition; Communication system control; Image recognition; Mechanical sensors; Motion control; Motion detection; Neural networks; Pattern recognition; Sensor systems; Space technology; Gesture Recognition; Neural Networks;
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
DOI :
10.1109/NISS.2009.132
