Paper Info
Title
Distribution and Recognition of Gestures in Human-Robot Interaction
Abstract
This paper presents an approach for human activity recognition focusing on gestures in a teaching scenario, together with the setup and results of user studies on human gestures exhibited in unconstrained human-robot interaction (HRI). The user studies analyze several aspects: the distribution of gestures, relations, and characteristics of these gestures, and the accept- ability of different gesture types in a human-robot teaching scenario. The results are then evaluated with regard to the activity recognition approach. The main effort is to bridge the gap between human activity recognition methods on the one hand and naturally occuring or at least acceptable gestures for HRI on the other. The goal is two-fold: To provide recognition methods with information and requirements on the characteristics and features of human activi- ties in HRI, and to identify human preferences and requirements for the recognition of gestures in human-robot teaching scenarios.
Year
DOI
Venue
2006
10.1109/ROMAN.2006.314402
RO-MAN
Keywords
Field
DocType
robotics,activity recognition,gesture recognition,human robot interaction,robots
Computer vision,Activity recognition,Simulation,Computer science,Gesture,Gesture recognition,Artificial intelligence,Robot,User studies,Human–robot interaction,Robotics
Conference
Citations 
PageRank 
References 
8
0.72
10
Authors
6
Name
Order
Citations
PageRank
Nuno Otero117119.56
steffen knoop280.72
Chrystopher L. Nehaniv31219138.00
Dag Sverre Syrdal431927.48
Kerstin Dautenhahn53124347.57
Rüdiger Dillmann643343.19