Distribution and Recognition of Gestures in Human-Robot Interaction
Otero, N.; Knoop, S.; Nehaniv, C.L.; Syrdal, D.S.; Dautenhahn, K.; Dillman, R.
Citation: Otero , N , Knoop , S , Nehaniv , C L , Syrdal , D S , Dautenhahn , K & Dillman , R 2006 , Distribution and Recognition of Gestures in Human-Robot Interaction . in Procs 15th IEEE Int Symposium on Robot & Human Interactive Communication : RO-MAN 06 . IEEE , pp. 103-110 . DOI: 10.1109/ROMAN.2006.314402
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 scenarios.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. DOI : 10.1109/ROMAN.2006.314402
This item appears in the following Collection(s)
Your requested file is now available for download. You may start your download by selecting the following link: test