Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms

Catherine A M Morgan; Farnoosh Heidarivincheh; Ian Craddock; Ryan Mcconville; Miquel Perello Nieto; Emma L. Tonkin; Alessandro Masullo; Antonis T Vafeas; Mickey Kim; Roisin Mcnaney; Gregory J. L. Tourte; Alan L Whone

doi:10.1109/PerComWorkshops51409.2021.9431017

Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms

Catherine A M Morgan, Farnoosh Heidarivincheh, Ian Craddock, Ryan Mcconville, Miquel Perello Nieto, Emma L. Tonkin, Alessandro Masullo, Antonis T Vafeas, Mickey Kim, Roisin Mcnaney, Gregory J. L. Tourte, Alan L Whone

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

5 Citations (Scopus)

234 Downloads (Pure)

Abstract

This paper looks to explore the challenges faced when producing a set of annotations from videos produced by a pilot study evaluating 24 participants (12 with Parkinson's disease, each accompanied by a healthy volunteer control participant) who are free-living in a house embedded with a platform of sensors. We discuss the outcome measures chosen to annotate from the videos and the controlled vocabularies formulated for this task, the tools and processes, how we intend to achieve standardisation and normalisation of the annotations, and how to improve quality and re-usability of the annotation dataset.

Original language	English
Title of host publication	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
Subtitle of host publication	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	471-474
Number of pages	4
ISBN (Electronic)	9781665404242
ISBN (Print)	9781665447249
DOIs	https://doi.org/10.1109/PerComWorkshops51409.2021.9431017
Publication status	Published - 26 Mar 2021

Publication series

Name	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

Bibliographical note

Funding Information:
This work is supported by the Elizabeth Blackwell Institute for Health Research, University of Bristol, and the Wellcome Trust Institutional Strategic Support Fund, grant code 204813/Z/16/Z, by The Cure Parkinson’s Trust, grant code AW021 and by IXICO plc, grant code R101507-101.

Funding Information:
This work was performed under the SPHERE Next Steps Project funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/R005273/1.

Publisher Copyright:
© 2021 IEEE.

Research Groups and Themes

SPHERE

Access to Document

10.1109/PerComWorkshops51409.2021.9431017

Full-text PDF (accepted author manuscript)
This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at 10.1109/PerComWorkshops51409.2021.9431017. Please refer to any applicable terms of use of the publisher.
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SPHERE2
Craddock, I. J. (Principal Investigator), Mirmehdi, M. (Co-Investigator), Piechocki, R. J. (Co-Investigator), Flach, P. A. (Co-Investigator), Oikonomou, G. (Co-Investigator), Burghardt, T. (Co-Investigator), Damen, D. (Co-Investigator), Santos-Rodriguez, R. (Co-Investigator), O'Kane, A. A. (Co-Investigator), McConville, R. (Co-Investigator), Masullo, A. (Co-Investigator) & Gooberman-Hill, R. (Co-Investigator)
1/10/18 → 31/01/23
Project: Research, Parent

Cite this

Morgan, C. A. M., Heidarivincheh, F., Craddock, I., Mcconville, R., Perello Nieto, M., Tonkin, E. L., Masullo, A., Vafeas, A. T., Kim, M., Mcnaney, R., Tourte, G. J. L., & Whone, A. L. (2021). Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 471-474). Article 9431017 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PerComWorkshops51409.2021.9431017

Morgan, Catherine A M ; Heidarivincheh, Farnoosh ; Craddock, Ian et al. / Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). Institute of Electrical and Electronics Engineers (IEEE), 2021. pp. 471-474 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

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title = "Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms",

abstract = " This paper looks to explore the challenges faced when producing a set of annotations from videos produced by a pilot study evaluating 24 participants (12 with Parkinson's disease, each accompanied by a healthy volunteer control participant) who are free-living in a house embedded with a platform of sensors. We discuss the outcome measures chosen to annotate from the videos and the controlled vocabularies formulated for this task, the tools and processes, how we intend to achieve standardisation and normalisation of the annotations, and how to improve quality and re-usability of the annotation dataset.",

author = "Morgan, {Catherine A M} and Farnoosh Heidarivincheh and Ian Craddock and Ryan Mcconville and {Perello Nieto}, Miquel and Tonkin, {Emma L.} and Alessandro Masullo and Vafeas, {Antonis T} and Mickey Kim and Roisin Mcnaney and Tourte, {Gregory J. L.} and Whone, {Alan L}",

note = "Funding Information: This work is supported by the Elizabeth Blackwell Institute for Health Research, University of Bristol, and the Wellcome Trust Institutional Strategic Support Fund, grant code 204813/Z/16/Z, by The Cure Parkinson{\textquoteright}s Trust, grant code AW021 and by IXICO plc, grant code R101507-101. Funding Information: This work was performed under the SPHERE Next Steps Project funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/R005273/1. Publisher Copyright: {\textcopyright} 2021 IEEE.",

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Morgan, CAM, Heidarivincheh, F, Craddock, I , Mcconville, R , Perello Nieto, M , Tonkin, EL, Masullo, A, Vafeas, AT, Kim, M, Mcnaney, R, Tourte, GJL & Whone, AL 2021, Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. in 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)., 9431017, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, Institute of Electrical and Electronics Engineers (IEEE), pp. 471-474. https://doi.org/10.1109/PerComWorkshops51409.2021.9431017

Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. / Morgan, Catherine A M; Heidarivincheh, Farnoosh; Craddock, Ian et al.
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 471-474 9431017 (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms

AU - Morgan, Catherine A M

AU - Heidarivincheh, Farnoosh

AU - Craddock, Ian

AU - Mcconville, Ryan

AU - Perello Nieto, Miquel

AU - Tonkin, Emma L.

AU - Masullo, Alessandro

AU - Vafeas, Antonis T

AU - Kim, Mickey

AU - Mcnaney, Roisin

AU - Tourte, Gregory J. L.

AU - Whone, Alan L

N1 - Funding Information: This work is supported by the Elizabeth Blackwell Institute for Health Research, University of Bristol, and the Wellcome Trust Institutional Strategic Support Fund, grant code 204813/Z/16/Z, by The Cure Parkinson’s Trust, grant code AW021 and by IXICO plc, grant code R101507-101. Funding Information: This work was performed under the SPHERE Next Steps Project funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/R005273/1. Publisher Copyright: © 2021 IEEE.

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Y1 - 2021/3/26

N2 - This paper looks to explore the challenges faced when producing a set of annotations from videos produced by a pilot study evaluating 24 participants (12 with Parkinson's disease, each accompanied by a healthy volunteer control participant) who are free-living in a house embedded with a platform of sensors. We discuss the outcome measures chosen to annotate from the videos and the controlled vocabularies formulated for this task, the tools and processes, how we intend to achieve standardisation and normalisation of the annotations, and how to improve quality and re-usability of the annotation dataset.

AB - This paper looks to explore the challenges faced when producing a set of annotations from videos produced by a pilot study evaluating 24 participants (12 with Parkinson's disease, each accompanied by a healthy volunteer control participant) who are free-living in a house embedded with a platform of sensors. We discuss the outcome measures chosen to annotate from the videos and the controlled vocabularies formulated for this task, the tools and processes, how we intend to achieve standardisation and normalisation of the annotations, and how to improve quality and re-usability of the annotation dataset.

U2 - 10.1109/PerComWorkshops51409.2021.9431017

DO - 10.1109/PerComWorkshops51409.2021.9431017

M3 - Conference Contribution (Conference Proceeding)

SN - 9781665447249

T3 - 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

SP - 471

EP - 474

BT - 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Morgan CAM, Heidarivincheh F, Craddock I , Mcconville R , Perello Nieto M , Tonkin EL et al. Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms. In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). Institute of Electrical and Electronics Engineers (IEEE). 2021. p. 471-474. 9431017. (2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021). doi: 10.1109/PerComWorkshops51409.2021.9431017

Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms

Abstract

Publication series

Bibliographical note

Research Groups and Themes

Access to Document

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Projects

SPHERE2

Cite this