Human activity recognition in RoboCup@home: Inspiration from online benchmarks

Mohamad Reza Shahabian Alashti; Mohammad Bamorovat Abadi; Patrick Holthaus; Catherine Menon; Farshid Amirabdollahian

doi:10.31256/Os6Aw4Y

Human activity recognition in RoboCup@home: Inspiration from online benchmarks

Mohamad Reza Shahabian Alashti
, Mohammad Bamorovat Abadi
, Patrick Holthaus
, Catherine Menon
, Farshid Amirabdollahian

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

37 Downloads (Pure)

Abstract

Human activity recognition is an important aspect of many robotics applications. In this paper, we discuss how well the RoboCup@home competition accounts for the importance of such recognition algorithms. Using public benchmarks as an inspiration, we propose to add a new task that specifically tests the performance of human activity recognition in this league. We suggest that human-robot interaction research in general can benefit from the addition of such a task as RoboCup@home is considered to accelerate, regulate, and consolidate the field.

Original language	English
Title of host publication	4th UKRAS21 Conference: Robotics at home Proceedings
Publisher	EPSRC UK-RAS Network
Pages	27-28
Number of pages	2
DOIs	https://doi.org/10.31256/Os6Aw4Y
Publication status	Published - 15 Jul 2021
Event	The 4th UK-RAS Conference for PhD Students & Early-Career Researchers on 'Robotics at Home' - Online, Hatfield, United Kingdom Duration: 2 Jun 2021 → 2 Jun 2021 Conference number: 4 https://www.ukras.org.uk/news-and-events/uk-ras/

Publication series

Name	UKRAS21 Conference: Robotics at home Proceedings
Publisher	EPSRC UK-RAS Network
ISSN (Print)	2516-502X

Conference

Conference	The 4th UK-RAS Conference for PhD Students & Early-Career Researchers on 'Robotics at Home'
Abbreviated title	#UKRAS21
Country/Territory	United Kingdom
City	Hatfield
Period	2/06/21 → 2/06/21
Internet address	https://www.ukras.org.uk/news-and-events/uk-ras/

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10.31256/Os6Aw4YLicence: CC BY

Accepted_Manuscript
© 2021 EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network. This is an open access conference paper distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
Accepted author manuscript, 78.9 KBLicence: CC BY

Cite this

@inproceedings{a717e026990f43e3962244eca100013c,

title = "Human activity recognition in RoboCup@home: Inspiration from online benchmarks",

abstract = "Human activity recognition is an important aspect of many robotics applications. In this paper, we discuss how well the RoboCup@home competition accounts for the importance of such recognition algorithms. Using public benchmarks as an inspiration, we propose to add a new task that specifically tests the performance of human activity recognition in this league. We suggest that human-robot interaction research in general can benefit from the addition of such a task as RoboCup@home is considered to accelerate, regulate, and consolidate the field.",

author = "\{Shahabian Alashti\}, \{Mohamad Reza\} and \{Bamorovat Abadi\}, Mohammad and Patrick Holthaus and Catherine Menon and Farshid Amirabdollahian",

note = "{\textcopyright} 2021 EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network. This is an open access conference paper distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/ ; The 4th UK-RAS Conference for PhD Students \& Early-Career Researchers on 'Robotics at Home', \#UKRAS21 ; Conference date: 02-06-2021 Through 02-06-2021",

year = "2021",

month = jul,

day = "15",

doi = "10.31256/Os6Aw4Y",

language = "English",

series = "UKRAS21 Conference: Robotics at home Proceedings",

publisher = "EPSRC UK-RAS Network",

pages = "27--28",

booktitle = "4th UKRAS21 Conference: Robotics at home Proceedings",

url = "https://www.ukras.org.uk/news-and-events/uk-ras/",

}

Shahabian Alashti, MR, Bamorovat Abadi, M, Holthaus, P , Menon, C & Amirabdollahian, F 2021, Human activity recognition in RoboCup@home: Inspiration from online benchmarks. in 4th UKRAS21 Conference: Robotics at home Proceedings. UKRAS21 Conference: Robotics at home Proceedings, EPSRC UK-RAS Network, pp. 27-28, The 4th UK-RAS Conference for PhD Students & Early-Career Researchers on 'Robotics at Home', Hatfield, United Kingdom, 2/06/21. https://doi.org/10.31256/Os6Aw4Y

Human activity recognition in RoboCup@home: Inspiration from online benchmarks. / Shahabian Alashti, Mohamad Reza; Bamorovat Abadi, Mohammad; Holthaus, Patrick et al.
4th UKRAS21 Conference: Robotics at home Proceedings. EPSRC UK-RAS Network, 2021. p. 27-28 (UKRAS21 Conference: Robotics at home Proceedings).

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

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AU - Shahabian Alashti, Mohamad Reza

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AU - Menon, Catherine

AU - Amirabdollahian, Farshid

N1 - Conference code: 4

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N2 - Human activity recognition is an important aspect of many robotics applications. In this paper, we discuss how well the RoboCup@home competition accounts for the importance of such recognition algorithms. Using public benchmarks as an inspiration, we propose to add a new task that specifically tests the performance of human activity recognition in this league. We suggest that human-robot interaction research in general can benefit from the addition of such a task as RoboCup@home is considered to accelerate, regulate, and consolidate the field.

AB - Human activity recognition is an important aspect of many robotics applications. In this paper, we discuss how well the RoboCup@home competition accounts for the importance of such recognition algorithms. Using public benchmarks as an inspiration, we propose to add a new task that specifically tests the performance of human activity recognition in this league. We suggest that human-robot interaction research in general can benefit from the addition of such a task as RoboCup@home is considered to accelerate, regulate, and consolidate the field.

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DO - 10.31256/Os6Aw4Y

M3 - Conference contribution

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Y2 - 2 June 2021 through 2 June 2021

ER -

Human activity recognition in RoboCup@home: Inspiration from online benchmarks

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