Towards a model for automatic action recognition for social robot companions

Ingo Keller; Markus Schmuck; Katrin Solveig Lohan

doi:10.1109/ROMAN.2016.7745094

Towards a model for automatic action recognition for social robot companions

Ingo Keller, Markus Schmuck, Katrin Solveig Lohan

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

1 Citation (Scopus)

85 Downloads (Pure)

Abstract

In this paper, we will explore human movementusing a tutoring spotter system which controls an iCub robot.We will present an evaluation based on the captured humanmovement from an experimental study, where our participantsdemonstrated a salt-shaker and a cup-stacking task to the iCubrobot. We will use a method of action recognition, which willhelp the robot to differentiate between these actions, as it willfocus the robot’s attention on the vital information presented bythe human. Our findings imply that the behaviour of the robotaffects our participants and it influences both, presentationtime as well as the ratio between action and sub-action duringthe task presentation. Furthermore, the stability of the actionrecognition system is influenced by this modification of thehuman presentation.

Original language	English
Title of host publication	2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
Publisher	IEEE
Pages	85-90
Number of pages	6
ISBN (Electronic)	9781509039296
DOIs	https://doi.org/10.1109/ROMAN.2016.7745094
Publication status	Published - 17 Nov 2016
Event	25th IEEE International Symposium on Robot and Human Interactive Communication 2016 - New York, United States Duration: 26 Aug 2016 → 31 Aug 2016

Publication series

Name	IEEE International Symposium on Robot and Human Interactive Communication
Publisher	IEEEE
ISSN (Electronic)	1944-9437

Conference

Conference	25th IEEE International Symposium on Robot and Human Interactive Communication 2016
Abbreviated title	RO-MAN 2016
Country/Territory	United States
City	New York
Period	26/08/16 → 31/08/16

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10.1109/ROMAN.2016.7745094

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@inproceedings{7f62d1b37e2449a6a1c1ceb8fc988183,

title = "Towards a model for automatic action recognition for social robot companions",

abstract = "In this paper, we will explore human movementusing a tutoring spotter system which controls an iCub robot.We will present an evaluation based on the captured humanmovement from an experimental study, where our participantsdemonstrated a salt-shaker and a cup-stacking task to the iCubrobot. We will use a method of action recognition, which willhelp the robot to differentiate between these actions, as it willfocus the robot{\textquoteright}s attention on the vital information presented bythe human. Our findings imply that the behaviour of the robotaffects our participants and it influences both, presentationtime as well as the ratio between action and sub-action duringthe task presentation. Furthermore, the stability of the actionrecognition system is influenced by this modification of thehuman presentation.",

author = "Ingo Keller and Markus Schmuck and Lohan, {Katrin Solveig}",

year = "2016",

month = nov,

day = "17",

doi = "10.1109/ROMAN.2016.7745094",

language = "English",

series = "IEEE International Symposium on Robot and Human Interactive Communication",

publisher = "IEEE",

pages = "85--90",

booktitle = "2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)",

address = "United States",

note = "25th IEEE International Symposium on Robot and Human Interactive Communication 2016, RO-MAN 2016 ; Conference date: 26-08-2016 Through 31-08-2016",

}

Keller, I, Schmuck, M & Lohan, KS 2016, Towards a model for automatic action recognition for social robot companions. in 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE International Symposium on Robot and Human Interactive Communication, IEEE, pp. 85-90, 25th IEEE International Symposium on Robot and Human Interactive Communication 2016, New York, United States, 26/08/16. https://doi.org/10.1109/ROMAN.2016.7745094

Towards a model for automatic action recognition for social robot companions. / Keller, Ingo; Schmuck, Markus; Lohan, Katrin Solveig.
2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2016. p. 85-90 (IEEE International Symposium on Robot and Human Interactive Communication).

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

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N2 - In this paper, we will explore human movementusing a tutoring spotter system which controls an iCub robot.We will present an evaluation based on the captured humanmovement from an experimental study, where our participantsdemonstrated a salt-shaker and a cup-stacking task to the iCubrobot. We will use a method of action recognition, which willhelp the robot to differentiate between these actions, as it willfocus the robot’s attention on the vital information presented bythe human. Our findings imply that the behaviour of the robotaffects our participants and it influences both, presentationtime as well as the ratio between action and sub-action duringthe task presentation. Furthermore, the stability of the actionrecognition system is influenced by this modification of thehuman presentation.

AB - In this paper, we will explore human movementusing a tutoring spotter system which controls an iCub robot.We will present an evaluation based on the captured humanmovement from an experimental study, where our participantsdemonstrated a salt-shaker and a cup-stacking task to the iCubrobot. We will use a method of action recognition, which willhelp the robot to differentiate between these actions, as it willfocus the robot’s attention on the vital information presented bythe human. Our findings imply that the behaviour of the robotaffects our participants and it influences both, presentationtime as well as the ratio between action and sub-action duringthe task presentation. Furthermore, the stability of the actionrecognition system is influenced by this modification of thehuman presentation.

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ER -

Towards a model for automatic action recognition for social robot companions

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