Title :
All gestures you can: A memory game against a humanoid robot
Author :
Gori, I. ; Fanello, S.R. ; Metta, G. ; Odone, F.
Author_Institution :
Robot., Brain & Cognitive Sci. Dept., Ist. Italiano di Tecnol., Genoa, Italy
fDate :
Nov. 29 2012-Dec. 1 2012
Abstract :
We address the problem of real-time gesture recognition, and we prove that our system can be used in real scenarios presenting an original memory game; the object of the game is to perform the longest sequence of gestures that it is possible to remember. We explore the human-robot interaction field, letting the player confront a humanoid robot, iCub. Our main contribution is two-fold: on one hand, we present a robust and real-time gesture recognition system; on the other hand, we place the presented system in a real scenario, where its reliability and its effectiveness are remarkably stressed. This game has ranked 2nd at ChaLearn Kinect Demonstration Competition1.
Keywords :
computer games; gesture recognition; humanoid robots; ChaLearn Kinect Demonstration Competition; iCub humanoid robot; memory game; realtime gesture recognition system; Encoding; Games; Gesture recognition; Histograms; Real-time systems; Robots; Three-dimensional displays;
Conference_Titel :
Humanoid Robots (Humanoids), 2012 12th IEEE-RAS International Conference on
Conference_Location :
Osaka
DOI :
10.1109/HUMANOIDS.2012.6651540