Distribution and Recognition of Gestures in Human-Robot Interaction
- 1 September 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 19449445,p. 103-110
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 acceptability 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 activities in HRI, and to identify human preferences and requirements for the recognition of gestures in human-robot teaching scenariosKeywords
This publication has 15 references indexed in Scilit:
- Sensor fusion for 3D human body tracking with an articulated 3D body model2006
- Modeling joint constraints for an articulated 3D human body model with artificial correspondences in ICP2006
- How our hands help us learnTrends in Cognitive Sciences, 2005
- Gesture and Thought2005
- Recent developments in human motion analysisPattern Recognition, 2003
- Understanding and Using ContextPersonal and Ubiquitous Computing, 2001
- Human Motion Analysis: A ReviewComputer Vision and Image Understanding, 1999
- The Visual Analysis of Human Movement: A SurveyComputer Vision and Image Understanding, 1999
- GestureAnnual Review of Anthropology, 1997
- Motion-based recognition a surveyImage and Vision Computing, 1995