Paper Info
Title
A Framework for User-Defined Body Gestures to Control a Humanoid Robot.
Abstract
This paper presents a framework that allows users to interact with and navigate a humanoid robot using body gestures. The first part of the paper describes a study to define intuitive gestures for eleven navigational commands based on analyzing 385 gestures performed by 35 participants. From the study results, we present a taxonomy of the user-defined gesture sets, agreement scores for the gesture sets, and time performances of the gesture motions. The second part of the paper presents a full body interaction system for recognizing the user-defined gestures. We evaluate the system by recruiting 22 participants to test for the accuracy of the proposed system. The results show that most of the defined gestures can be successfully recognized with a precision between 86100 % and an accuracy between 7396 %. We discuss the limitations of the system and present future work improvements.
Year
DOI
Venue
2014
10.1007/s12369-014-0233-3
I. J. Social Robotics
Keywords
Field
DocType
Humanoid robot,Robot,Nao,Gesture,User-defined,User-defined gestures,Robot navigation,Gesture recognition
Computer vision,Simulation,Gesture,Gesture recognition,Psychology,Artificial intelligence,Robot,Humanoid robot
Journal
Volume
Issue
ISSN
6
3
1875-4791
Citations 
PageRank 
References 
3
0.37
34
Authors
5
Name
Order
Citations
PageRank
Mohammad Obaid117728.40
Felix Kistler215610.52
Markus Häring3816.43
René Bühling4486.90
Elisabeth André53634433.65