Distribution and Recognition of Gestures in Human-Robot Interaction

N. Otero; S. Knoop; C.L. Nehaniv; D.S. Syrdal; K. Dautenhahn; R. Dillman

doi:10.1109/ROMAN.2006.314402

Distribution and Recognition of Gestures in Human-Robot Interaction

N. Otero, S. Knoop, C.L. Nehaniv, D.S. Syrdal, K. Dautenhahn, R. Dillman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

59 Downloads (Pure)

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 scenarios.

Original language	English
Title of host publication	Procs 15th IEEE Int Symposium on Robot & Human Interactive Communication
Subtitle of host publication	RO-MAN 06
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	103-110
ISBN (Print)	1-4244-0564-5
DOIs	https://doi.org/10.1109/ROMAN.2006.314402
Publication status	Published - 2006

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@inproceedings{09635e804be64d1f906526df3ba92bf8,

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 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.",

author = "N. Otero and S. Knoop and C.L. Nehaniv and D.S. Syrdal and K. Dautenhahn and R. Dillman",

note = "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",

year = "2006",

doi = "10.1109/ROMAN.2006.314402",

language = "English",

isbn = "1-4244-0564-5",

pages = "103--110",

booktitle = "Procs 15th IEEE Int Symposium on Robot & Human Interactive Communication",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

TY - GEN

T1 - Distribution and Recognition of Gestures in Human-Robot Interaction

AU - Otero, N.

AU - Knoop, S.

AU - Nehaniv, C.L.

AU - Syrdal, D.S.

AU - Dautenhahn, K.

AU - Dillman, R.

N1 - 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

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

U2 - 10.1109/ROMAN.2006.314402

DO - 10.1109/ROMAN.2006.314402

M3 - Conference contribution

SN - 1-4244-0564-5

SP - 103

EP - 110

BT - Procs 15th IEEE Int Symposium on Robot & Human Interactive Communication

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Distribution and Recognition of Gestures in Human-Robot Interaction

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