Real-time 3D hand gesture interaction with a robot for understanding directions from humans

Michael Van Den Bergh, Daniel Carton, Roderick De Nijs, Nikos Mitsou, Christian Landsiedel, Kolja Kuehnlenz, Dirk Wollherr, Luc Van Gool, Martin Buss

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

149 Zitate (Scopus)

Abstract

This paper implements a real-time hand gesture recognition algorithm based on the inexpensive Kinect sensor. The use of a depth sensor allows for complex 3D gestures where the system is robust to disturbing objects or persons in the background. A Haarlet-based hand gesture recognition system is implemented to detect hand gestures in any orientation, and more in particular pointing gestures while extracting the 3D pointing direction. The system is integrated on an interactive robot (based on ROS), allowing for real-time hand gesture interaction with the robot. Pointing gestures are translated into goals for the robot, telling him where to go. A demo scenario is presented where the robot looks for persons to interact with, asks for directions, and then detects a 3D pointing direction. The robot then explores his vicinity in the given direction and looks for a new person to interact with.

OriginalspracheEnglisch
Titel2011 RO-MAN - 20th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest
Seiten357-362
Seitenumfang6
DOIs
PublikationsstatusVeröffentlicht - 2011
Veranstaltung20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011 - Atlanta, GA, USA/Vereinigte Staaten
Dauer: 31 Juli 20113 Aug. 2011

Publikationsreihe

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Konferenz

Konferenz20th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2011
Land/GebietUSA/Vereinigte Staaten
OrtAtlanta, GA
Zeitraum31/07/113/08/11

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